861 Data Mining Jobs - Page 12

Irisidea Technologies is looking for Full Stack Developer (Angular + NET Core + SQL) to join our dynamic team and embark on a rewarding career journey Designing, developing, and testing front-end and back-end components of a web application Building scalable and efficient web pages and applications Integrating user-facing elements with server-side logic Implementing security measures and data protection protocols to ensure the security of sensitive information Collaborating with other developers, designers, and stakeholders to define and build new features Troubleshooting and fixing technical issues as they arise Knowledge of agile software development methodologies Strong problem-solving and analytical skills Excellent written and verbal communication skills

Zensar Technologies is looking for AI/ML TESTING-AI, ML, DEEP LEARNING, DATA MINING, ANALYTICS AI/ML TESTING-AI, ML, DEEP LEARNING, DATA MINING, ANALYTICS to join our dynamic team and embark on a rewarding career journey Develops and executes test plans for AI and machine learning models Validates model accuracy, fairness, performance, and edge-case behavior Implements automation tools and creates synthetic test datasets Ensures compliance with model validation protocols and documentation

Job Description As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Our Purpose Title and Summary Senior Software Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is 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. Our Team: The AI & DPE team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercard s various customer segments. Platform Services team in AI & DPE focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services across AI & DPE and drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights. The Role: We are seeking a Senior Software Engineer who will: Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets. Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value. Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements. Integrate & Unify new data assets which increase the value proposition for our customers and enhance our existing solutions and services. Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You Minimum 5-8 years of relevant experience. Good understanding of programming language preferably PySpark and Big Data technologies. Experience with Enterprise Business Intelligence Platform/Data platform. Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools Experience with data integration tools - ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Databricks) Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies. Strong understanding of the application of analytical methods and data visualization to support business decisions. Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group

Your role As a Senior ML Engineer, you will play a crucial role in analyzing, interpreting and building ML models to drive informed business decisions. You will be responsible for developing and implementing OCR solutions, analyzing complex datasets, and providing valuable insights to support our business objectives. Your expertise in statistical techniques, data mining, and reporting will contribute to optimizing efficiency and quality within our organization. What youll be doing Roles & Responsibilities Interpret and analyse data using statistical techniques to identify trends, patterns, and insights. Develop and implement databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality. Own and lead the project and the team under you. Acquire data from primary and secondary sources to build models. Build, train and deploy models into Production systems. Clean and filter data by reviewing computer reports, printouts, and performance indicators to identify and correct code problems. Collaborate with management to prioritize business and information needs. Identify and define new process improvement opportunities based on data analysis findings. Act as primary and sole contact for the project. Develop and present ongoing reports and dashboards to stakeholders, highlighting key insights and recommendations. Ability to take ad hoc meetings to support offshore customer queries. Utilize reporting packages, databases, and programming languages (such as SQL, Python, or R) for data analysis and visualization. Stay updated with the latest trends and advancements in data analysis techniques and tools. Skills Required Bachelors degree in computer science, Statistics, Mathematics, or a related field. A masters degree is a plus. Minimum of 5 years of proven working experience as ML Engineer or Data Science Engineer, preferably in a technology or finance-related industry. Strong technical expertise in data models, database design development, data mining, and segmentation techniques. Proficiency in reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming languages (e.g., Python, R frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., Excel, SPSS, SAS). Exceptional analytical skills with the ability to collect, organize, Analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient in querying databases, report writing, and presenting findings effectively to both technical and non-technical stakeholders. Strong problem-solving abilities and a proactive mindset to identify opportunities for process improvements. Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Experience in building OCR models is an advantage. About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

SUMMARY We are looking for a Machine Learning Scientist who is passionate about aiding India s emergence into an AI superpower and about applying AI and ML to solve high-impact societal challenges, especially in the area of large language models (LLMs). The ideal candidate will have a strong research or applied background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, including LLMs, data analysis, and simulations. They should enjoy interfacing with disparate internal and external stakeholders, mentoring junior scientists and developers, working in cross-functional teams, and contributing to ML evaluations and practical deployments. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. Pertinent to this role, Wadhwani AI also works closely with the Ministry of Electronics and Information Technology (MEITy), Government of India, in helping flesh out the various pillars of the India AI mission. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows ROLES AND RESPONSIBILITIES As an ML Scientist working with our team at the India AI Mission, you will be responsible for critically evaluating LLM solutions, building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition and the development and execution of algorithms and solutions to the problems. You will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning administration, engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations and are encouraged to collaborate with researchers across the world. REQUIREMENTS This role requires the candidate to work out of the India AI Mission office at MEITy, Government of India. M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with work experience of 6+ years or a PHd from a reputed institute. We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should have a strong research background, be familiar with the state of the art especially in foundational models and LLMs, have experience in mentoring junior scientists and developers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Candidates should be completely comfortable working with cross-functional teams in an uncertain and fast-paced environment, and must have excellent oral and written communication skills and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus. Candidates should be passionate about using their technical skills to solve large societally important problems.

SUMMARY We are looking for a Machine Learning Scientist who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research and/or applied background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, data analysis, and simulations. Candidates with experience in Automated Speech Recognition (ASR) are preferred for this role. They should be skilled in mentoring junior researchers, working in cross-functional teams, and contributing to both practical deployments and academic research. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows ROLES AND RESPONSIBILITIES As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in problem definition and the development and execution of algorithms and solutions to the problems. As an ASR expert, you will also be assisting in the design of evaluations for ASR solutions submitted for funding to the India AI mission at the Ministry of Electronics and Information Technology (MEITy). You will play an advisory role in the execution of these evaluations. In order to apply machine learning and related technologies for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations, and are encouraged to collaborate with researchers across the world. You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals. At Wadhwani AI, excellence as an individual contributor goes hand-in-hand with good teamwork and collaboration. You will mentor junior researchers, post-docs, and interns, and participate in recruiting and hiring activities. You will also be expected to interact with external partners of Wadhwani AI when required, and to make periodic visits to the communities from where challenges are derived and where the solutions will be deployed. REQUIREMENTS M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with work experience of 6+ years or a PHd from a reputed institute. Experience and expertise in ASR is preferred. We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should have a strong research background, have experience in mentoring junior researchers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Familiarity with popular deep learning algorithms is a strong plus, however demonstrated willingness and ability to learn will also be considered. Candidates should be comfortable working with cross-functional teams and must have excellent oral and written communication skills and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus. Candidates should be passionate about using their technical skills to solve large societally important problems.

HIH - SE Analyst_McLaughlin (Distributive).docx Software Engineering Analyst Position Overview The job profile for this position is Software Engineering Analyst, which is a Band 2 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for exceptional software engineers/developers in our PBM Plus Technology Organization. This role will require a Java Developer completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices and deploying in on prem and/or AWS infrastructure. They are expected to work closely with Subject Matter Experts, developers, and business stakeholders to ensure that application solutions meet business/customer requirements. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing SQL queries to check the data in databases such as Oracle, MongoDB Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Experience in cloud technology such as PCF, Open Shift, AWS highly desirable. Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: High School diploma or equivalent required. College degree preferred, but not required. 2-3 years of experience in developing Java services or API using Spring Boot. These two sections will be standardized in the JD template and made not editable. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement About Evernorth Health Services

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Data Engineer III Introduction to the Team Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Expedia Group is seeking a skilled and motivated Data Engineer III to join our Finance Business Intelligence team supporting the Product & Technology Finance organization. In this role, you will help drive data infrastructure and analytics solutions that support strategic financial planning, reporting, and operational decision-making across the Global Finance community. You ll work closely with Finance and Technology partners to ensure data accuracy, accessibility, and usability in support of Expedia s business objectives. As a Data Engineer III, you have strong experience working with a variety of datasets, data environments, tools, and analytical techniques. You enjoy a fun, collaborative and stimulating team environment. Successful candidates should be able to own projects end-to-end, including identifying problems and solutions, building and maintain data pipelines and dashboards, distilling key insights and communicate to stakeholders. In this role, you will: Develop new and improve existing end to end Business Intelligence products (data pipelines, Tableau dashboards, and Machine Learning predictive forecasting models). Drive internal efficiencies through streamline code/documentation/Tableau development to maintain high data integrity. Troubleshoot and resolve production issues with the team products (automation opportunities, optimizations, back-end data issues, data reconciliations). Proactively reach out to subject matter experts /stakeholders and collaborate to solve problems. Respond to ad hoc data requests and conduct analysis to provide valuable insights to stakeholders. Collaborate and coordinate with team members/stakeholders to translate complex data into meaningful insights, that improve the analytical capabilities of the business. Apply knowledge of database design to support migration of data pipelines from on prem to cloud environment (including data extraction, ingestion, processing of large data sets) Support dashboard development on cloud environment to enable self-service reporting. Communicate clearly on current work status and design considerations Think broadly and comprehend the how, why, and what behind data architecture designs Experience & Qualifications: Bachelor s in Computer Science, Mathematics, Statistics, Information Systems, or related field 5+ years experience in a Data Analyst, Data Engineer or Business Analyst role Proven expertise in SQL, with practical experience utilizing query engines including SQL Server, Starburst, Trino, Querybook and data science tools such as Python/R, SparkSQL. Proficient visualization skills (Tableau, Looker, or similar) and excel modeling/report automation. Exceptional understanding of relational and dimensional datasets, data warehouse and data mining and applies database design principles to solve data requirements Experience building robust data extract, load and transform (ELT) processes, that source data from multiple databases. Demonstrated record of defining and executing key analysis and solving problems with minimal supervision. Dynamic individual contributor who consistently enhances operational playbooks to address business problems. 3+ year working in a hybrid environment that uses both on-premise and cloud technologies is preferred. Experience working in an environment that manipulates large datasets on the cloud platform preferred. Background in analytics, finance or a comparable reporting and analytics role preferred. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. . Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience. This is an opportunity to be part of the Amazons new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection. Youll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazons innovation. As a key member, youll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies. If youre enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex problems using top-notch ML models, LLM and GenAI techniques, then youre the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as youll work closely with business owners to understand customer needs and design scalable solutions. Join us on this exhilarating journey and be part of redefining the vehicle shopping experience. As an Applied Scientist in Amazon Autos, you will: Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain. Drive big picture innovations with clear roadmaps for intermediate delivery. Apply your skills in areas such as deep learning and reinforcement learning while building scalable solutions for business problems. Produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. Interface with business customers, gathering requirements and delivering science solutions. Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. Effectively communicate complicated machine learning concepts to multiple partners. Research new and innovative machine learning approaches. A day in the life In this role, you will be part of a multidisciplinary team working on one of Amazons newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to our customers. Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You will invent and apply state-of-the-art technologies, such as large language models, machine learning, natural language processing, and computer vision, to build next-generation solutions for Amazon. Youll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Are you an experienced Program Manager interested in an opportunity to help drive Amazon s flywheel and develop your A to Z business understanding? Do you enjoy learning about different Amazon business types and new subsidiaries, and thinking creatively about brand new businesses that Amazon is inventing on behalf of customers? The Global Accounts Receivable (GAR) team is seeking a creative and passionate program manager to help achieve our vision to provide a world-class Order-to-Cash (O2C) onboarding experience to our global business partners in support of Amazon s journey to become earth s most customer-centric company. We love to offer our customers unique world-class experiences, and we invite you to help Amazon make history! The Program Manager will have global oversight of the integration of new initiatives onto O2C platforms, driving effective people, processes, and technology to achieve organizational goals and deliver results. This individual will have ownership over new business integration programs while standardizing the global implementation processes and driving efficiency. This role will require engagement and alignment with global business teams, finance teams, operational teams, system developers and product managers. Responsibilities include supporting new business initiatives through designing transactional workflows in line with the business model, defining requirements and testing of the solutions to ensure delivery is as expected and delivering and improving the customer experience. Implementation of mechanisms to monitor and measure performance is essential. The ability to thrive in a fast-paced, ambiguous and demanding work environment is critical to success in this role. The ideal candidate will be a self-starter with knowledge of program management, experience with accounts receivable operational processes, demonstrate faster learning and adoptability, demonstrate good relationship and strategic influencing skills, experienced in large scale change management across functions and geographies, and exhibit a relentless pursuit for improvement. This individual must have a proven record of delivering results through good program management skills, problem solving skills, financial process and system knowledge, and a passion for customer experience. Core Requirements: 5+ years of Accounts Receivable experience, with at least 2 years in a leadership role( not mandate) Bachelors degree in Finance, Accounting, Business Administration, or related field Advanced Excel skills and experience with ERP systems Data Analytics Requirements: 3+ years experience with data analysis and reporting tools Proficiency in SQL for data extraction and analysis Experience with visualization tools (e.g., Tableau, Power BI) Demonstrated ability to translate data insights into actionable recommendations Program Management Skills: 3+ years experience managing complex projects or programs Track record of process improvement initiatives Experience leading cross-functional teams Good stakeholder management abilities Technical Skills: Experience with AR automation tools and systems Knowledge of financial control frameworks Proficiency in Microsoft Office Suite Experience with business intelligence platforms Additional Desired Qualifications: MBA or relevant masters degree Professional certifications (CPA, PMP, or similar) Experience with machine learning or predictive analytics Knowledge of Python or R for advanced data analysis Ownership and implementation of new businesses and subsidiaries onto AR platforms Partner with key counterparts across geographies to launch and support initiatives globally in a scalable manner Develop a solid understanding of Amazon s Finance Operations systems and processes Define and implement global standards for business integration program management Define and describe various business scenarios that can be relevant to New Businesses and convert them into system and operational requirements. Translate complex business requirements into functional designs Oversee comprehensive testing of systems changes and development of standard operating procedures, process documentation and performance metrics Manage process transitions/implementations across multiple functions and geographies Motivate and influence business, operational and technical teams to ensure that best practices are followed and implemented Identify, assess, track and mitigate risks at multiple levels Proactively monitor program performance to identify, address and prevent potential issues Address barriers through problem solving, communication and active coordination with stakeholders Drive effective teamwork, communication collaboration and commitment across multiple disparate groups with competing priorities Identify gaps and strive constantly for re-engineering of systems and processes Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation 5+ years of Accounts Receivable (AR) experience 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience MBA, or CPA Knowledge of Tableau Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

Perfect Order Experience (POE) Team is looking for a passionate, results-oriented, operationally focused System Development Engineer to support the fast-evolving and expanding Seller Compliance space. The role encompasses working with a support engineering team that provides support for multiple products and platforms, including engineering development support (root cause analysis, code fixes), customer support self-service (tools development), and business decision-making support (data mining, report generation, scripting). The Support Engineering team comprises world-class engineers with technical skills blending systems and software engineering. We are looking for a System Dev Engineer with experience in software engineering support or an equivalent role, with a track record of driving projects to improve software development, business, and customer service support-related processes and technical support experiences. A successful candidate will be an experienced technical team member who is willing to take on challenging responsibilities, has a metrics-focused approach, demonstrates customer focus, and has the ability to lead in multi-functional and fast-paced environments. If you fit the profile, we would love to talk to you. Responsibilities include working with a team of support engineers, enhancing process and service improvements, monitoring and improving day-to-day operational efficiency, and being self-motivated. The role also involves driving smaller-scope development projects and building custom tools. Technical Support and Problem Resolution Diagnose and resolve complex production software issues across multiple products and services Perform comprehensive troubleshooting and root cause analysis for technical challenges Provide timely and effective support through ticket management and customer communication Software Development and Maintenance Develop and implement operational tools and automation solutions using Ruby, Rails, Java, Python, and shell scripting Maintain and configure software systems in staging and production environments Implement fixes and enhancements for internally developed software applications System Operations and Monitoring Design and implement monitoring solutions to ensure system reliability and performance Manage software deployments and support infrastructure in AWS and web technology environments Create and maintain system and support status reports Team Collaboration and Knowledge Management Coordinate support issue handoffs within the team Develop and contribute to a comprehensive team knowledge base Collaborate with cross-functional teams to improve operational excellence Product and Service Ownership Take ownership of digital products or system components Ensure adherence to service level agreements (SLAs) Coordinate customer notifications and workflow management Experience in automating, deploying, and supporting infrastructure Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Experience with CI/CD pipelines build processes

0px> Who are we? In one sentence This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data. What will your job look like? You will be responsible for and perform end-top-end data-based research. You will craft data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, demonstrating knowledge and a broad understanding of E2E business processes and requirements. You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership. You will identify and analyze new data analytic directions and their potential business impact to determine the accurate prioritization of data analytics activities based on business needs and analytics value. You will identify data sources, supervises the data collection process and crafts the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. You will construct data models (algorithms and formulas) for required business needs and predictions. You will present results, including the preparation of patents and white papers and facilitating presentations during conferences. All you need is... Ph.D. in Computer Science, Mathematics or Statistics 4 years experience in tasks related to data analytics Knowledge of telecommunications and of the subject area being investigated - advantage Knowledge in the product (ACC or other) application knowledge and configuration knowledge Knowledge in BSS, billing, Telco and the business processes Familiarity in the Telco Networking - mobile, landline, cable TV, Internet knowledge in Oracle SQL Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

External job description: On the Accounts Payable team within Finance Operations (FinOps), you will find yourself working with multi-talented people committed to driving financial improvement, scalability, and process excellence. To support the growth of businesses at Amazon, this candidate must possess a good passion for accountability, setting high standards, raising the bar, and driving results through constant focus on improving existing and future state operations, systems, and processes. The candidate will be able to think big to create a long-term plan, but have good tactical skills to drive day-to-day implementation. They will be able to learn quickly and be willing to experiment with new ideas. This role on the Accounts Payable team drive operations to achieving key goals, performing deep dive and contribute to process improvements. The role will use complex problem-solving skills, manage multiple high visibility priorities, and maintain a keen attention to detail and the ability to work in a fast-paced environment with ambiguous situations. Key responsibilities: Performing deep dive and contribute to process improvements Driving operation to achieve key goals Representing ops in leadership calls Coordinating with multiple teamsTech, product and Business Partnering teams Experience in managing process and operational escalations Drive resolution of critical issues for vendors as well as support processes/systems deep dives to ensure root cause analysis and correction resulting in improved customer experience. Negotiate efficient and reliable processes and policies across partner teams to systematically eliminate dependencies and defects. Liaise with Business Partnering teams & Businesses to set near, medium, and long-term operational goals for improvements. Identifying and evaluating financial and operational risks and opportunities both internal to Finance Operations and to the business, driving ad-hoc projects as required. Basic qualifications: 10+ years of overall experience in corporate world Experience using data to influence business decisions Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues Managerial skills to handle problems and crisis in a confident and decisive manner. Ability to take responsibility for making difficult decisions, taking calculated risks and experimenting with new approaches Ability to work under pressure and with strict deadlines Excellent negotiation, interpersonal, verbal and written communication skills 4+ years of multiple finance and accounting roles experience 6+ years of Account Payable experience 6+ years of applying key financial performance indicators (KPIs) to analyses experience 5+ years of creating process improvements with automation and analysis experience 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience Bachelors degree in accounting, finance or business, or Master s degree in accounting or finance Preferred qualifications 5+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience 5+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience MBA, or CPA Knowledge of Advanced Excel, SQL/ETL. Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results 10+ years of overall experience in corporate world Experience using data to influence business decisions Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues Managerial skills to handle problems and crisis in a confident and decisive manner. Ability to take responsibility for making difficult decisions, taking calculated risks and experimenting with new approaches Ability to work under pressure and with strict deadlines Excellent negotiation, interpersonal, verbal and written communication skills 4+ years of multiple finance and accounting roles experience 6+ years of Account Payable experience 6+ years of applying key financial performance indicators (KPIs) to analyses experience 5+ years of creating process improvements with automation and analysis experience 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience Bachelors degree in accounting, finance or business, or Master s degree in accounting or finance Experience working in a matrixed environment, influencing strategy, and achieving goals by working across the organization Knowledge of Microsoft Office products and applications (esp. MS Excel, Word) at an advanced level Experience in operational excellence using six sigma methodologies Proven Project & Operations Management Skills.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. UnitedHealth care is part of the family of companies that make Optum, part of the UnitedHealth Group family of businesses one of the leaders across most major segments of the US health care system. When you work with Optum, part of the UnitedHealth Group family of businesses, what you do matters. Its that simple"and its that challenging. In providing consumer-oriented health benefit plans to millions of people; our goal is to create higher quality care, lower costs and greater access to health care. Join us and you will be empowered to achieve new levels of excellence and make a profound and personal impact as you contribute to new innovations in a vital and complex system. This is an Associate Project Manager role within the Financial Data Management's FP3 (Finance Programs, Projects, & Products) Team. This position will provide critical General Ledger configuration responsibilities, perform user acceptance testing, act as an intermediary between accounting and technical teams, and support FTS technical enhancement functions for UHC Finance's Medicare business (M&R). This includes general ledger accounting, financial controls and reporting, and financial data repositories and sub-ledgers. This role will require solid analytical skills, customer focus, communication, problem-solving, and organizational skills to ensure the successful management of FTS rule updates. The candidate will provide subject matter expertise for financial applications, input into project solutions, collaborate with stakeholders to gather and document business rule configuration requirements, and take a lead role in user acceptance test planning and execution. The primary focus of this role will be project support and operational maintenance of complex FTS tables and rules related to our Medicare financial reporting. Primary Responsibilities: Demonstrates extensive knowledge of GL and sub-GL data sources, and how the information is recorded (e.g., chart of accounts, revenues, expenses, claim costs, etc.) Exhibits critical thinking and intellectual curiosity with the ability to resolve issues and questions Provides analysis and dissemination of complex concepts Understands complex financial and IT concepts Works independently, as well as collaborates with various teams throughout UHC and Optum Internalizes, interprets, and documents complex scenarios clearly and concisely Executes and facilitates user acceptance testing efforts and defect resolution Defines GL derivation rules for financial transactions Determines the scope of business testing based on a financial risk assessment Supports business process and automation enhancements Collaborates with business partners to develop test documentation, requirements, and timelines Provides test status updates as required by program directives Facilitates and organizes end-user training Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Accounting or equivalent courses 5+ years of experience in Finance and Accounting Knowledge of accounting practices and general ledger reporting Solid knowledge and experience with user acceptance testing processes Working knowledge of data mining/reporting tools such as SAS/SAS Enterprise Guide and/or SQL Intermediate proficiency in MS Excel, Access, and MS Word Proven solid written and oral communication skills Proven solid time management, prioritization, and organizational skills Demonstrated solid financial acumen Demonstrated solid data analysis skills Preferred Qualifications: Experience in the healthcare industry Knowledge of UHC general ledger strings Exposure to PeopleSoft

Want to join a team that protects and improves the buyer experience of millions Amazon customers and builds earths most customer-centric sellers daily using innovative technology including machine learning, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build next-generation engineering systems to quickly and accurately identify and mitigate product safety issues and potential risks to the customer experience. As a Software Development Engineer, you will work with your team of highly skilled software, data, and ML engineers to invent, design, build and manage highly scalable distributed systems that provide availability, scalability and latency guarantees. You will work with your internal customers to balance customer requirements with team requirements and help your team and business evolve, by working with LLMs and large data sets. You will be using the latest AI, AWS and industry technologies to deliver a one-stop risk identification and remediation ecosystem for Amazon, keeping our customers safe and products compliant, building the software creating the world s most trustworthy data set on everything companies and customers need to know related to the safety and compliance of products and chains. Each and every person buying, selling, or handling Amazon products will be your customer. As a member of this growing team, you ll be able to build the groundwork and influence its direction for the years to come. Our work cuts across various disciplines from delivering an awesome user experience via great UI/UX, to building massively scalable backend systems to support the most high-traffic pages on Amazon.com, to analytical and feedback systems which give us data-driven customer insights, to using machine learning and AI to influence recommendations and marketing. If you have a passion for consumer-facing applications, and are obsessed with customer experience, we want you! If you d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! In this role you will: Help define the system architecture, own and implement specific components, and help shape the overall experience Collaborate closely with product managers, UX designers, and other SDE team members to help define the scope of the product Take responsibility for technical problem solving, creatively meeting product objectives, and developing best practices Demonstrate cross-functional resource interaction to accomplish your goals Write high-quality, efficient, testable code in Java and other object-oriented languages Design Amazon-scale tools to facilitate internal business Build highly available, secure, and low-latency systems Mentor other developers Find out what it takes to engineer systems for "Amazon Scale" Design and build microservices Own and operate the systems that you build based on real-time customer data and demanding service-level agreements Contribute to planning, design, implementation, testing, operations, and process improvement A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon.com strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want low prices, vast selection, and convenience Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Account Health Support (AHS) Specialist within the AHS team acts as the primary interface between Amazon and our Selling partners. We obsess over providing world class support to Sellers selling on the Amazon platform. We strive to predict Sellers needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. Calculate demand volume forecast at interval level, day level, week level and at month level, along with knowledge of statistical indicators to check their accuracy. Capacity planning at weekly/ monthly level, so that the required headcount for hiring could be shared with senior leadership. Create schedules on excel and on a scheduling tool (preferably Aspect) based week level, day level and interval level volume pattern. Diving deep into data/processes to identify problems and solutions and presenting them to leadership. Keeping regular communication with site operations, senior leadership, technology teams and other stakeholders to manage critical parameters, employee experience, contingency etc. Publishing reports of critical WFM and other important parameters to drive efficiency in them and to keep all relevant stakeholders regularly informed. Creating employees rotational plan and conducting shift bid process to help shift rollover for frontline staff. Optimizing break, meeting and other non-productive activities, managing interval level service level. Managing real time analysts and schedulers. A day in the life The ideal candidate is passionate about leveraging data and tools to deliver actionable insights that drive improvements in planning accuracy, and has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relishes working with large transactional volumes and big data and enjoys the challenge of highly complex, and sometimes ambiguous, business context. You will work cross-functionally to ensure that decisions are made and actioned, which will ensure our operations have the volume to run as efficiently as possible. About the team The Account Health Support Workforce Management Team has a mission of fulfilling the Service Level agreements continuously in partnership with Operations, throughout all verticals/marketplaces along with optimum utilization of the available resources and meeting the goal thresholds for all the capacity level attributes (Shrinkage, TPH etc.). To attain to the program objectives, AHS Workforce team sets appropriate goals for Operations (Shrinkage), drives effective queue management, time to time checks to ensure capacity on each Vertical is sufficient to handle projected volume and take necessary actions to meet the requirement if otherwise, scheduling heads appropriately to match the incoming patterns, queueing tasks manually to fill for the deficit in projected volume and to support any new launches, effective management of non-production time to reduce idle hours and sharing reports on different performance metrics to drive the results. 3+ years of team management experience 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of delivering cross functional projects experience Experience defining program requirements and using data and metrics to determine improvements Experience implementing repeatable processes and driving automation or standardization Experience in data mining, data management, reporting, and SQL queries

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life You will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) FIAT SEPO. The team is being grown to provide insights and provide WFM solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Experience using very large datasets

This role is to solve business problems in Machine Learning for the Seller and Fulfilment Tech (SFT) org. The overarching goal of the team is to enhance ML expertise and fluency within SFT and across IST, championing engineering and operational excellence in ML model development and other related parts of the ML model lifecycle. Some of the key areas which the team owns in this space area: Selection Recommendations, Registration improvements, Bad actor detection and prevention Selection economics, Inventory recommendation, Delivery Promise Predictions, Seller success. Within the ML space, the scientist would have to solve intrinsically hard problems where neither problem nor solution is well defined. So, the leader should have high focus on building a deep understanding of the ML science space, experimentation methodology, as well as a high focus on embracing external trends, especially applications of GenerativeAI and LLMs. A large focus area for the role is to also contribute towards the science and research aspects. The ASII leader applies and extends existing scientific techniques, and invents new ones to address specific customers needs or business problems, at a project level. This should also lead to regular contributions to internal or external peer-reviewed publications that validate novelty 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development

This role will require a Java Developer completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices and deploying in on prem and/or AWS infrastructure. They are expected to work closely with Subject Matter Experts, developers, and business stakeholders to ensure that application solutions meet business/customer requirements. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing SQL queries to check the data in databases such as Oracle, MongoDB Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Experience in cloud technology such as PCF, Open Shift, AWS highly desirable. Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: High School diploma or equivalent required. College degree preferred, but not required. 2-3 years of experience in developing Java services or API using Spring Boot.

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Provide the business with analytic tools and insights that drive growth and/or productivity. Provide technical leadership for analytics community via forward thinking attitude, use of cutting-edge tools and approaches and business consulting. Individual should help shape business and analytics strategies for our business units globally. Key Responsibilities Bringing new tools to the business; leading data mining and analytics, interpreting and reporting of large integrated data sets built with structured and unstructured data; developing tools to leverage new proprietary data sources. Statistical model building and deployment in the areas of forecasting, marketing mix, machine learning/AI, etc. Continuously seeking out industry best practices and skills development to create new capabilities for data analytics at McCormick to drive marketing strategy. May include managing/coaching direct reports to enable responsibilities above. Required Qualifications & Experience Bachelor s or Master s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field. Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain. Demonstrated ability to connect the dots between complex data/analytics and business understanding. Expertise in data management, integration & harmonization. Expertise in SQL, coding in one or more languages (R & Python preferred) Experience with data visualization software (Tableau preferred) Comfortable working with structured and unstructured data sources, including syndicated data, SAP Strong technical curiosity and passion for problem solving and innovation Interpersonal Skills Strong global cross-functional leadership, influence, communication and teamwork skills. Ability to manage multiple priorities simultaneously and foresee and address issues before they become significant obstacles WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

At Cotality, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh. Next Gear India Private Limited plays a vital role in Cotalitys Product Development capabilities, focusing on creating and delivering innovative solutions for the Property & Casualty (P&C) Insurance and Property Restoration industries. While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success. When you join Next Gear India Private Limited, you become part of the global Cotality team. Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights. Company Description At Cotality, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills, and directly impact the insurance marketplace. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property insurance and restoration industry. Regular working hours will be from 12noon to 9pm IST It will be Hybrid work where the team will need to be in the office for the first half of the day for 3 days a week and they can leave in the afternoon around 3pm or 4pm and log back at home for the remaining hours (same as other local teams). Training will be provided about the product. Description We are seeking a highly skilled Data Analyst to join our Analytics Support team to serve customers across the property insurance and restoration industries. As a data analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. Responsibilities Collaborate with cross-functional teams to understand and document requirements for analytics products. Serve as the primary point of contact for new data/analytics requests and support for customers. Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. Create and manage change order tickets on behalf of customers within internal frameworks. Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. Create and optimize complex SQL queries for data extraction, transformation, and aggregation. Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. Conduct validation checks and implement error handling mechanisms to ensure data reliability. Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner. Job Qualifications: 5+ years experience of building PowerBI dashboards, data modeling and analysis Bachelor s degree in computer science, data science, statistics, or a related field is preferred. Advanced knowledge of data analysis tools such as Power Query, Excel, and Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Excellent visual and storytelling skills with data. Experience with Power Query for importing, transforming, and shaping data. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Proficiency in SQL with the ability to write complex queries and optimize performance. Experience with ETL processes, data pipeline and automation a plus. Strong analytical and problem-solving skills Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Ability to work independently and collaborate in a team environment. Knowledge of property insurance industry will be a plus. Cotalitys Diversity Commitment: Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement: Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e