Are you a computer science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline software development for engineers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for computer science specialists who live and breathe algorithms, data structures, machine learning, artificial intelligence, software engineering, computer networks, cybersecurity, cloud computing, database management, and systems architecture. You’ll challenge advanced language models on topics like algorithm optimization, model training and evaluation, network protocols, distributed systems, object-oriented design, and performance tuning—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on coding scenarios and theoretical computer science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in computer science or a closely related field is ideal; peer‑reviewed publications, software development experience, or hands-on machine learning projects signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your computer science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Computer Science Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level Show more Show less

Are you a mathematics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline problem-solving for mathematicians everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for mathematics specialists who live and breathe algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics. You’ll challenge advanced language models on topics like multivariable calculus, cryptography, optimization techniques, machine learning algorithms, mathematical proofs, set theory, combinatorics, and stochastic processes—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on theoretical and applied mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in mathematics or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands‑on research projects signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Mathematics Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level Show more Show less

The Tech Lead will own key initiatives to develop & scale products, institute best engineering practices and deliver innovative products. The idea is to have a scalable and robust platform that improves user and revenue growth and enhances customer experience. Key Responsibilities Drive new features and improve the performance of existing products Define architectural standards and processes Drive performance analysis and optimization efforts Help set and fulfill the engineering hiring plan for the team including sourcing, screening, and interviewing Work with teams across Salarybox to ensure a seamless user experience Keep abreast of the changes in the industry and champion new technologies and development processes within the team What Should You Have Experience in building systems from scratch Should appreciate good application design and contribute to improving the overall architecture. Should have experience in scaling backend services. Building a high availability system without a single point of failure. Experience in optimizing applications for low latency. Strong fundamentals and real-world application of Data Structures, Algorithms, Design Patterns, and Problem Solving 5-8 years of experience at cutting-edge organizations or start-ups About The Firm It’s a fantastic time to be joining SalaryBox as we continue to transform attendance and payroll for over 60 million MSME’s in India. We launched the app in Jan 2021, and now have more than 1 million downloads on the playstore. We support more than 200k businesses and operate at scale. Backed by Y-Combinator, SalaryBox is India’s leading attendance and payroll app. Considered to be the engine of economies around the world, the MSME segment in India alone has ~63 million units, and employs ~100 million people. The sector accounts for 27% of GDP and is crucial to the functioning of the economy. We are on a mission to make work easier for these business owners, managers, and employees to focus on the best things they do. Today, SalaryBox is a fun bunch of analytical and ambitious folks building first-of-its-kind technologies for the MSME ecosystem. We are here to enhance the employee experience of over 10 million end consumers in the next twelve months. Our mission is big, so we act with urgency in everything we do. We find creative ways to test ideas and learn today so that we focus on the right things tomorrow. And we are just getting started! Website : https://www.salarybox.in/ LinkedIn : https://www.linkedin.com/company/salaryboxapp Show more Show less

About Sanofi We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives. Who You Are: You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates. Job Highlights Propose and establish technical designs to meet business and technical requirements Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies Create data pipelines / ETL pipelines and optimize performance Test and validate developed solution to ensure it meets requirements Create design and development documentation based on standards for knowledge transfer, training, and maintenance Work with business and products teams to understand requirements, and translate them into technical needs Adhere to and promote to best practices and standards for code management, automated testing, and deployments Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases Develop automated tests for CI/CD pipelines Gather/organize large & complex data assets, and perform relevant analysis Conduct peer reviews for quality, consistency, and rigor for production level solution Actively contribute to Data Engineering community and define leading practices and frameworks Communicate results and findings in a clear, structured manner to stakeholders Remains up to date on the company’s standards, industry practices and emerging technologies Key Functional Requirements & Qualifications Experience working cross-functional teams to solve complex data architecture and engineering problems Demonstrated ability to learn new data and software engineering technologies in short amount of time Good understanding of agile/scrum development processes and concepts Able to work in a fast-paced, constantly evolving environment and manage multiple priorities Strong technical analysis and problem-solving skills related to data and technology solutions Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders Pragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Fluent in English (Other languages a plus) Key Technical Requirements & Qualifications Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt Understanding of data structures and algorithms Working knowledge of scripting languages (Python, Shell scripting) Experience in cloud-based data platforms (Snowflake is a plus) Experience with job scheduling and orchestration (Airflow is a plus) Good knowledge of SQL and relational databases technologies/concepts Experience working with data models and query tuning Nice To Haves Experience working in life sciences/pharmaceutical industry is a plus Familiarity with data ingestion through batch, near real-time, and streaming environments Familiarity with data warehouse concepts and architectures (data mesh a plus) Familiarity with Source Code Management Tools (GitHub a plus) Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com! null Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Director Quality Software Engineering Who is Mastercard? Mastercard is a global technology company in the payments industry. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Transfer Solutions is responsible for driving Mastercard’s expansion into new payment flows such as Disbursements & Remittances. The team is working on creating a market-leading money transfer proposition, Mastercard Move, to power the next generation of payments between people and businesses, whether money is moving domestically or across borders, by delivering the ability to pay and get paid with choice, transparency, and flexibility. The Product & Engineering teams within Transfer Solutions are responsible for designing, developing, launching, and maintaining products and services designed to capture these flows from a wide range of customer segments. By addressing customer pain points for domestic and cross-border transfers, the goal is to scale Mastercard’s Disbursements & Remittances business, trebling volume over the next 4 years. The Role What’s it all about and what we expect you to do day to day? At least 50% individual contributor with technical team leadership who is recognized as a departmental authority and technical expert within a discipline and drives innovation and organizational growth through their contributions. Spend their time in IDEs writing non-feature code; are hands all the time and collaborate by writing interfaces, tests (unit or acceptance) and architecture fitness functions, outside of meeting rooms. Technical team leadership, departmental authority, and technical expert in payments domain who drives innovation and organizational growth through their contributions. Develop and coach team members to excel on engineering endeavors by fostering an environment that encourages continuous learning and growth. Domain driven design is your game. Drive implementation of consumer driven contracts to allow for evolution and learning of the domain model with hyper speed while meeting our promises to other teams internally and customers alike. Participate and contribute to team’s agile process and decisions. Drive prioritization decisions and trade-offs in working with product partners. Work with product owners and architects Simplify and improve the cost/benefit of a function/service/architecture strategy Apply judgment and experience to balance trade-offs between competing interests All About You And What You Need To Bring Minimum 10 years of progressive experience in the software quality engineering discipline, starting as a software engineer and progressing through the ranks to a leadership position. Payment’s domain, with focus on Cross Border Payments, experience is preferred Product engineering experience that demonstrates thought-leadership and cross-functional influence demonstrated by a successful track record of enabling business through engineering excellence and technical innovation. Experience in the skills required to implement advanced test set ups in production environment e.g., A/B testing, Chaos, canary releases, blue-green deployment, feature flags Experience in leading the initiation and formation of large global projects including architecting, estimating, planning, implementing, and operating as well as selecting talent resources across multiple geographies and functions. Has skills to develop and evangelize on reference architecture and run principles to help teams adopt Engineering Principles from the start - poison pill, active/active/active, auto-scaling, self-healing, others Understands use cases for advanced design patterns e.g., service-to-worker, MVC, API gateway, intercepting filter, dependency injection, lazy loading, all from gang of four to implement efficient code Understands and implements API standards and cataloging to drive API/service adoption and commercialization Has skills to promote and coach teams on take on full stack development and facilitate end-to-end service ownership Has skills to drive trade-off discussions to set right development capacity based on value drivers e.g., regulatory, security, new business, market parity, technical debt Performance engineering experience to ensure applications are built to scale, run, and perform for varying demands Has skills to evaluate practices, metrics, and roles to continually optimize SDLC methodologies and automate processes to improve lead time and quality Key Expectations Build Testing Strategy, Test case development, Write E2E test scripts using Karate, Selenium, etc. Analyses systems to define testing approach to be used considering all the dependencies of the application. Experience with at least one major automated testing framework. Manage and coordinate large testing and release efforts with continuous delivery Adapt and instil best practices and proactively coaches others to high technical and quality standard Develop, maintain, and enhance automated testing processes Ensure an intuitive user experience which can drive value for users Innovate and continually learn and work with new technologies Invest in personal growth and take on team responsibilities Own release management for your team Take ownership of quality health e.g. testing coverage, performance, best practices, etc. Innovate on testing tools ,quality and team processes. Determines the most appropriate and efficient testing method - manual, automated - and tools to prove completion of test and delivery of expected system results. Collaborates with developers, product managers and other constituents involved in development, testing and release of software products. Monitors and analyses testing process, making recommendations for improvements for a given testing engagement as needed. Experience with manual software testing is required. Prior experience in the Software Quality Engineering / Test Automation engineering Prior experience of at least 3+ years with a variety of different testing techniques such as UI testing, Automated testing, Test driven development strategies etc. Experience in Agile framework, unit testing libraries/framework, Test Automation, code management tool, deployment tools Understanding of algorithms and data structures Experience in designing and implementing automated testing infrastructure. Knowledge of relational database in respect to maintain quality throughout data pipelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-247544 Show more Show less

Profile Requirements Experience as full stack / back end developer with expertise in Python/Node JS/Java/PHP. Understanding of data analytics, web analytics, and key performance indicators. Strong unit test and debugging skills. Good in Data Structure and algorithms Expertise in AWS/ GCP/ Azure or any cloud provider Proficient understanding of code versioning tools such as Github / Gitlab. Understanding of fundamental design principles behind a scalable application. Knowledge of Javascript/ Jquery/ HTML/ CSS/ AngularJS/ ReactJS Should have worked on Django/ Flask/ Spring/ Hibernate/ CodeIgniter Proficiency in Python or PHP software development on Linux platforms, or on Windows Should be able to work with minimal supervision Responsibilities And Duties Write reusable, testable, and efficient code. Implement security and data protection. Design and implementation of data storage solutions such as databases. Explore design implications and work towards appropriate balance between functionality and performance Work with a cross-discipline team of User Experience, Visual Design, Project Management, Development and testing. Writing White Papers and documenting the findings, learnings and challenges during the projects. Lead a team, resolves issues and effectively manage employee discipline. Play a key role in recruitment and campus drives. Required Experience, Skills And Qualifications Bachelors/ Masters in Computer Science or Electronics. Hands on experience in either MEAN stack or : Data Structures, Algorithms, Python, MEAN stack, Django, React.js (ref:hirist.tech) Show more Show less

Our Company: We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Senior AI Developer to support our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4+ experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us: We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The Team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The Role Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What you’ll bring: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Why CDM Smith? Check out this video and find out why our team loves to work here! Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Analyzes large datasets to identify patterns and trends. Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations. Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills And Abilities Good understanding of the software development life cycle. Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Basic experience with programming languages (ex: R, Python, Scala, etc.). Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular Show more Show less

You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. American Express has embarked on an exciting transformation driven by an energetic new team of high performers. This is a great opportunity to join the Customer Marketing organization within American Express Technologies and become a driver of this exciting journey. We are looking for a highly skilled and experienced Senior Engineer with a history of building Bigdata, GCP Cloud, Python and Spark applications. The Senior Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization's data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Joining the Enterprise Marketing team, this role will be focused on the delivery of innovative solutions to satisfy the needs of our business. As an agile team we work closely with our business partners to understand what they require, and we strive to continuously improve as a team. We pride ourselves on a culture of kindness and positivity, and a continuous focus on supporting colleague development to help you achieve your career goals. We lead with integrity, and we emphasize work/life balance for all of our teammates. How will you make an impact in this role? There are hundreds of opportunities to make your mark on technology and life at American Express. Here's just some of what you'll be doing: As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities. Develop software in our technology stack which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics ). Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps. Create technical solution designs to meet business requirements. Define best practices to be followed by team. Taking your place as a core member of an Agile team driving the latest development practices Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods. Suggest and recommend solution architecture to resolve business problems. Perform peer code review and participate in technical discussions with the team on the best solutions possible. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology of #TeamAmex. Minimum Qualifications : · BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · 8+ years of hands-on software development experience with Big Data & Analytics solutions – Hadoop Hive, Spark, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow. · Working knowledge of Adobe suit like Adobe Experience Platform, Adobe Customer Journey Analytics · Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability. · Design and development experience with Kafka, Real time ETL pipeline, API is desirable. · Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies. · Certifications in cloud platform (GCP Professional Data Engineer) is a plus. · Understanding of distributed (multi-tiered) systems, data structures, algorithms & Design Patterns. · Strong Object-Oriented Programming skills and design patterns. · Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven). · Good knowledge and experience with configuration management tools like GitHub · Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively. · Looks proactively beyond the obvious for continuous improvement opportunities. · Communicates effectively with product and cross functional team. · Willingness to learn new technologies and leverage them to their optimal potential. · Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Company Description Pocketful is a modern stockbroking platform based in Delhi, India. We aim to revolutionize the trading experience by offering cutting-edge products supported by Nobel-winning financial research and top-notch technology. Our mission is to empower modern traders with advanced tools and analytics to make sound financial decisions. Role Description This is a full-time on-site role for a Senior Backend Developer (Golang) at Pocketful. The role involves day-to-day tasks related to back-end web development, software development, object-oriented programming, and collaborating with the front-end development team to create robust and efficient applications. Who are we looking for? Backend Developer, who is proficient in Java/Golang/C++/Python. (Golang is preffered) Minimum 4 years of work experience in backend development & building scalable products Work on a category creating, possibly disruptive, fintech products in early stages. Design and develop highly scalable and reliable systems end-to-end. Directly work with the CTO and Founders, and be a part of product strategy. Self-Starter - Will be working alongside other engineers and developers, collaborating on the various layers of the infrastructure for our products built in-house. Someone who is proficient in Dockers & Kubernetes and AWS Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Familiarity with Agile development, continuous integration, and modern testing methodologies. Familiarity in working with Rest APIs Think out-of-the-box while solving problems considering the scale and changing environment variables. Quickly learn and contribute to changing technical stack ? Bonus Points- Working knowledge of SQL database for a product at scale and AWS. Interest (and/or experience) in the financial/stock market space interest trumps : Okhla, New Delhi Qualifications Back-End Development and Software Development skills Experience > 4 Year Strong programming skills & DSA Knowledge of databases and server infrastructure Bachelor's degree in Computer Science or related field Experience with Golang programming language is a plus (ref:hirist.tech) Show more Show less

Company Description MarsDevs is a remote-first offshore digital product development company based in India. We specialize in building MVPs, Mobile and Web Applications, SaaS Products for Early to Growth Startups, and vertical solutions for SMBs. With a focus on quality code, technical architectures, and client satisfaction, we have successfully delivered over 60 solutions in 10 countries and 12 industry verticals. Role Description This is a full-time remote role for an Odoo Developer with 5+ years of experience. The Odoo Developer will be responsible for systematic analysis of projects, requirements gathering, UI/UX design, architecture design, technical consulting, deployment of applications, set up and optimization, maintenance, and technical support. Responsibilities Carrying out Odoo development activities for Customization, Code Migration, Data Migration & Import, Generating BI Reports, Output Documents, Functional Test/User Acceptance Test, Automation Test & Unit Test. Analyze and clarify functional specifications, write technical specifications, design technical structure of the solution, and implement business logic. Work closely or in coordination with Technical Lead as needed to plan, scope, design, develop, test, implement, support, and enhance Business applications and it's features/solutions. Understanding the requirements and participating in project planning by giving an estimation of the work to Technical Lead. Application development using Odoo framework & components. Bug fixing, performance optimization, production support. Be part of Sprint meetings to discuss project development progress/challenges/scope etc and also assist the ERP Technical Lead for preparing the Sprint report. Make sure to follow the prescribed coding and development best practices to give high-quality output as per the requirement. Adherence to the latest development methods like continuous deployment & integration. Contribution to Odoo open-source projects, participation in Odoo technical community discussions, online forums, or interest groups. Assess the impact of potential changes/customizations in Odoo's core business apps, implement solutions to mitigate negative outcomes. Document and demonstrate solutions by developing documentation, flowcharts, algorithms, data-flow diagrams, layouts, user-flow diagrams, charts, code comments, and keeping code clean, readable, and optimized. Must possess a strong learning curve and should be willing to keep themselves abreast and continuously updating their job knowledge by studying state-of-the-art development tools, programming techniques, latest cloud services, modern programming/technical concepts for personal upscaling and in turn meeting organisational needs as well. Developing technical documentation to guide future software development projects. Required Skills Must have sound knowledge of Odoo MVC architecture. 2-3 years of hands-on experience in developing & configuring Odoo applications/modules in the areas of Sales, Purchase, Delivery, Accounting, eCommerce, Qweb Reporting, etc. Must be aware of Odoo's latest version and ORM API. Must be aware of Odoo Enterprise solutions. Must be aware of Odoo App store and popular third-party module authors such as OCA. Must have code optimization skills and proactively look for ways to make the architecture, code, and operations better. Must have experience with Scrum/Agile development methodologies. Proficiency in Python, Javascript, XML. Readiness to learn a new language and frameworks. Must be a self-starter & be able to work with minimum supervision. Hands-on experience in Linux/Unix development environments is a must. Excellent knowledge of version control systems like GIT, Bitbucket, etc including branching and merging. Excellent analytical and problem-solving skills. Sound judgement and independent decision-making regarding the viability of ERP solutions and abstract concepts. Experience in writing SQL queries for PostgreSQL. Nice To Have Knowledge of Odoo installation. Knowledge of odoo. Knowledge of Odoo POS modules. Outstanding written and verbal communication and interpersonal skills. Sound knowledge of Internet technologies like SSH/SFTP/FTP, Linux/UNIX shell scripting (eg. bash). Good understanding of Object-Oriented Design principles, web-services, RESTFul APIs, and design patterns. (ref:hirist.tech) Show more Show less

Selected Intern's Day-to-day Responsibilities Include Plan and strategize content for specific social media channels of Minus Equals Plus and its clients to boost traffic, engagement, and brand awareness (channels include Instagram, Facebook, LinkedIn, and Twitter) Execute the strategy by timely and creatively creating content (videos, images, statistics, animations, etc.) that optimizes each platform, write flawless captions, post on time, and maximize content reach Collaborate closely with the design team to prepare posts Discover innovative ways to engage audiences and stay updated on new trends and shifts in social media algorithms to leverage them on respective platforms Create and manage a strong network of creators, influencers, industry professionals, and brands Measure and analyze performance and provide real-time and long-term recommendations for channel optimization About Company: Minus Equals Plus is a bespoke design agency based in Goa. Some of the services the agency provides are brand identity development, digital marketing, social media design, and web design and development. Show more Show less

Step into role of a Senior Data Engineer. At Barclays, innovation isn’t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Join Barclays as a Senior Data Engineer. At Barclays, we are building the bank of tomorrow. As a Strategy and Transformation Lead you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Selected Intern's Day-to-day Responsibilities Include Assist in developing algorithms for computer vision/image processing and control systems Analyze datasets and validate model performance. Contribute to documentation, experiments, and reporting Work closely with senior researchers and engineers on real-world academic or industrial projects About Company: Hi-Tech Robotics is a cutting-edge technology company with a mission to revolutionize people's and materials' mobility with our autonomous, driver-assistive technologies and mobile robots. Apply to join our engineering team in the area of self-driving technology, specifically focused on sensor fusion and autonomous navigation. You will need to have a proven technical background in computer science or a relevant field, and an entrepreneurial spirit to come up with new ideas and implement them same. The organization values team player qualities, engineering, technical excellence, and grassroots innovation in a fast-paced environment. We work hard, but we also like to have a lot of fun! Get ready for spontaneous applause, impromptu brainstorms & the contagious excitement we bring to the office each day. We've built a team that does great work & has an awesome time doing it, & we're always looking for more whip-smart people to pipe up, dive in, and get their hands dirty with us. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Join us as a Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences. BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates. This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst you should have experience with: Experience in data mining and building predictive & machine learning models using both structured and unstructured data. Understanding of machine learning algorithms and their applications. Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc. Knowledge of Python & SQL. Some Other Highly Valued Skills May Include Strong communication skills. Good in storytelling. Good at problem solving skills. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

JOB_POSTING-3-71335-1 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

JOB_POSTING-3-71335 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? , AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Analyst – Junior Data Scientist Location: Bangalore Reporting to: Manager Analytics Purpose of the role Key Tasks & Accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience & Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science Previous Work Experience Bachelor’s degree with minimum 2 years of Data Science experience Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others) Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset Strong communication and interpersonal skills Strong story boarding skills And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

Job Title: Social Media Manager Location: Both WFO/ WFH Employment Type: Full-time Experience Required: 2–3 years Job Summary: We are hiring a Social Media Manager who is creative, strategic, and results-driven. The ideal candidate must have hands-on experience in managing all major social media platforms, especially LinkedIn, and should be capable of generating organic leads. This role also involves managing a small team and working closely with the creative and marketing departments. Key Responsibilities:Plan, create, and schedule engaging content across LinkedIn, Instagram, Facebook, Twitter, YouTube, and other platforms. Drive organic lead generation through strategic social media planning and audience engagement. Coordinate with the design team to develop creatives, reels, carousels, and other content formats. Manage and grow LinkedIn company pages and personal brand profiles for lead nurturing. Analyze social media performance metrics and optimize strategies accordingly. Stay updated with current trends, tools, algorithms, and platform updates. Supervise and guide junior team members or interns in content creation and posting. Run and manage basic ad campaigns when required (organic + paid coordination). Required Skills: Proven experience in organic lead generation, especially via LinkedIn. Strong knowledge of all major social media platforms and tools (Meta Suite, LinkedIn Campaign Manager, Canva, etc.) Creative mindset with the ability to guide and develop strong visual and written content. Basic knowledge of analytics tools and performance tracking. Good team management and coordination skills. Qualifications: Bachelor's degree in Marketing, Communications, or a related field. Minimum 2 years of experience managing social media for brands or agencies. Strong communication and organizational skills. Salary: ₹15000 to 20000 Reporting To: Digital Marketing Manager

JOB_POSTING-3-71335-4 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Requirements: Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Expertise in R, SQL, Python. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Preferences Familiarity with Java or C++ Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less