9439 Statistics Jobs - Page 48

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: Job Summary This position performs duties and tasks to support full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides development, maintenance, and support for applications. Responsibilities : Designs and develops applications. Develops application documentation. Performs maintenance and support. Qualifications : Minimum 4+ years of experience with Java, Spring Boot, Restful Web Service Client/Server Development Experience with SQL, PL/SQL, and Oracle database. Experience in Jaspersoft Reports is added advantage. Knowledge of Code Quality Inspection Tools, Dependency Management Systems and Software Vulnerability Detection and Remediation Familiarity with Agile Development and Sprint Ceremonies Nice to have OpenShift, Azure DevOps Server, Jenkins CI/CD Pipeline, and AMQ Must be detail oriented. Excellent verbal and written communication skills Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

- 3+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience defining program requirements and using data and metrics to determine improvements Join Amazon Payment Services to drive innovative payment solutions across Africa, Middle East, and Turkey. You'll collaborate with internal teams and banking partners to enhance customer experience through frictionless payment methods. This role offers the opportunity to shape the future of digital payments while ensuring reliable transactions for millions of customers and sellers across five countries. The role requires engaging with various teams in Amazon to understand customer pain points in Payments and build mechanisms and processes to eliminate these pain points. Build robust operational processes and drive continuous improvements through customer anecdotes. Manage incidents related to Payments, trouble shoot, engage internal and external teams to mitigate customer impact and fix problems. Drive Payments Incident Management process to manage critical escalations, customer facing communications, and handling large-scale customer impacting events. Drive operational excellence and improvements to the overall customer experience. Supports a wide range of technology platforms across several countries and closely work with team of engineers to streamline transaction monitoring, anomaly detection and ongoing issues impacting customer’s ability to make Payments on Amazon websites. Manage real-time support, communication, escalation, reporting, and root cause analysis of software outage events that impact the Amazon customer experience. You will work with Incident Management team who handles escalations from various teams through tickets and guide them as Payments Subject Matter Expert, build SOPs, processes, automations to reduce incoming tickets. You are required to work with external Payments Partners to drive continuous improvements on core metrics and escalation issues which are impacting customers. Deliver timely, accurate and professional technical support and information to all key stakeholders around the world including both business and technical audiences. Responsible for the day-to-day operations & set up mechanisms/processes to monitor payment success rates 24x7 across banks, partners, merchants and improve the same through operational excellence. Become SME (subject matter expert) for existing payments technologies as well as new technologies as they emerge. A solid background in business operations and a technical background is essential for your success in this position. Must apply the technical skills to automate data extraction and metrics calculation to reduce manual intervention. You should be passionate about problem solving, managing relationships, and metric development enabling management to make breakthrough decisions and delight our customers. You should have experience working with technology and engineering teams and have knowledge on payment processing. Key job responsibilities • A Bachelor’s Degree at a well-regarded Institution in an Analytical Field (Economics, Computer Science, Mathematics, Statistics or Finance) • Drive the resolution of large scale customer impacting incidents as part of a team rotation • Drive critical, complex customer escalations in situations that are sometimes technically challenging in collaboration with Engineering Teams. • Lead projects and virtual teams to drive operational improvements • Program management working together with technical teams to improve payments products and customer experience • 3+ years of program or project management experience. • Ability for data gathering and analyzing skill, clear logic to address root cause and suggest solutions to customer problem. • Influence technical documentation content, perform documentation review, dive deep into system layouts and solutions. • Should be process oriented with experience of building Strong/sustainable processes. • Should have Incident Management Experience. • Must derive metrics from data and track these metrics. • Excellent written, oral communication and presentation skills and the ability to express thoughts logically. Demonstrated active listening skills, highly consultative and solutions-oriented. • Deep understanding of and passion for e-commerce desired. • 3+ years of work experience analyzing data with strong statistical and Quantitative Modeling. • Demonstrate Intense Customer/Seller Focus and Highest level of Integrity, Intellectual Honesty and Strong Work Ethic. • Be Sharp, Analytical and thoughtful. • High Attention to Detail and proven ability to manage multiple Competing priorities Simultaneously. • Should be able to work in flexible shifts. 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Greetings of the day! We are in urgent requirement of 'Purchase Executive' for our retail chain stores at ' Planet Health '. Details are given below for your reference. Company name: GPSAR Healthcare Ltd. (Brands: 'Planet Health' and 'Perfect Mother') 'Planet Health', founded in 2001, is among the pioneering specialty chain of pharmacy and wellness stores. Planet Health, presently operates a chain of 41 stores across Ahmedabad, Gandhinagar, Anand, Surat and Vadodara in Gujarat. Job Summary: Forecasting levels of demand for products to meet the business needs Keeping a constant check on stock levels. Liaisoning between suppliers, manufacturers, relevant internal departments and customers. Identifying potential suppliers, Regularly visit/meet existing suppliers Building and maintaining good relationships with suppliers Negotiating and agreeing contracts and monitoring their progress, checking the quality of service provided. Processing payments and invoices. Keeping contract files and using them as reference for the future. Forecasting price trends and their impact on future activities. Producing reports and statistics using computer software. Ensuring suppliers are aware of business objectives. Interested candidates can share CV on hr.training@planethealth.in or Whats App CV on 9429197817 Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Employment Type: Permanent, Full Time Title: State Monitoring and Reporting Officer, Gujarat Location: Gandhinagar, Gujarat Deadline for submission: July 06, 2025 About us Nutrition International (NI) is a global organization dedicated to delivering proven nutrition interventions to those who need them most. Working in partnership with countries, donors, and implementers, our experts conduct cutting-edge nutrition research, support critical policy formulation, and integrate nutrition into a broader development agenda. For more than 30 years now, we have focused on delivering low-cost, high-impact, nutrition interventions to people in need, driven by our mission to achieve a world where everyone, everywhere, is free from malnutrition and able to reach their full potential. Our work is guided by a dedicated and talented team of experts working globally, regionally and within countries to end malnutrition worldwide. If you are a motivated and passionate individual who shares our conviction that a better world is possible through improved nutrition, wants to leave the world a little better than they found it, and is looking to be part of a team with a clear vision, we want to hear from you. Please consider applying for the position below. About you You will have a Master’s degree in statistics/social science/ developmental science/ public health or other related field with excellent computer skills including MS Office. Minimum 5 years of experience in data management and MIS handling. Preference will be given to individual trained in SPSS/EPI and other data analytical tools. Fluency in Hindi and English is essential. Knowledge of Gujarati will be an advantage. About the role The main purpose of this position is to extend support to the Health and Family Welfare, Women and Child Development, Education, Gujarat State Civil Supplies Corporation Limited, Food and Civil Supplies, and Food and Drug Control Administration departments of the state government for the NI focused interventions such as Adolescent Nutrition, Maternal Nutrition, Newborn Care and Child Survival, Food Fortification and National Iodine Deficiency Disorder Control Program. The State Monitoring and Reporting Officer will compile and analyze data, prepare presentation on field findings and compile reports for appropriate and corrective actions by various state departments. In this role you will be responsible to: Support SPR in developing/streamlining the reporting system from block, district, state levels for NI focused interventions. Prepare software-based data collection tool and data visualisation dashboard. Support state government in the compilation of data/ reports received from all projects supported by NI on monthly and quarterly basis. Work closely with the state government’s Data Manager and extend necessary support in analysing data generated through HMIS or any other state specific software. Build capacity of partner NGOs and government staff in monitoring, analysing and reporting on the coverage data and other process indicators. Prepare progress report including HMIS and program monitoring data under the guidance from SPR on a monthly, quarterly, six monthly and annual basis on key indicators as applicable in the state for both internal (India Country Office) and external consumption. Facilitate estimation of correct denominators for calculating supplies required so that state government can allocate appropriate budget in the annual plans. Support assessment of state, district, block wise stock availability of fortified staples, IFA, Zinc and ORS, Calcium, Albendazole, and other micronutrient supplies as per the target population. For more detailed information about the role, please click on the attached Job Description What we offer Nutrition International offers a competitive market pay, including health and wellness benefits, medical insurance, accidental insurance plan, flexible work hours, four weeks of vacation (plus public holidays), and support for learning and development opportunities. We offer a collaborative and engaging work environment. Nutrition International is an equal opportunity employer. We celebrate diversity and are committed to an inclusive, equitable, and accessible work environment. Upon request, accommodation due to a disability are available throughout the selection process. Please note that all our offers are conditional subject to appropriate screening checks and satisfactory reference checks. How to apply? Nutrition International is committed to an inclusive, barrier-free work environment and encourages applications from all qualified individuals. To apply please click on the Apply Now button to submit your application. The closing date for receiving applications is July 06, 2025. Only short-listed candidates will receive an acknowledgment and will be called for personal interactions. The starting salary for this position is INR 14,81,199/-per annum. We thank you for your interest, however only those selected for an interview will be contacted. NI is a non-smoking work environment. Show more Show less

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Applied Research team leads the way in pioneering AI and machine learning innovations, specializing in GenAI, Autonomous Agents, deep learning, NLP, large language models (LLMs/GPT), graph models, etc. Our research is dedicated to pushing the boundaries of technology, anticipating future needs, and seamlessly integrating AI innovations into our product suite. We aim to deliver groundbreaking solutions that not only address current demands but also establish the groundwork for transformative advancements in data and applied sciences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities We are seeking an Applied Research Manager Responsibilities include: Team Leadership: Lead and mentor a team of applied researchers, fostering a collaborative and innovative work environment. Provide technical guidance and support to team members, helping them grow in their careers and achieve their goals. Drive the team's strategic vision and align it with the overall company objectives. Research and Development: Conduct cutting-edge research in Gen AI, autonomous agents, LLMs, data science, machine learning, and applied statistics to solve complex business problems. Collaborate with cross-functional teams to identify opportunities for applying advanced analytics and machine learning techniques. Stay abreast of the latest developments in the field and ensure the team remains at the forefront of technology. Project Management: Oversee the end-to-end lifecycle of data science projects, from problem definition to model deployment. Ensure projects are delivered on time and within scope, meeting both technical and business requirements. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Technical Expertise: Provide technical leadership and contribute hands-on expertise in areas such as machine learning, statistical modeling, and data analysis. Review and guide the development of algorithms, models, and methodologies to solve complex problems. Collaboration and Communication: - Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to drive data science initiatives. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Qualifications Deep expertise of 10+ years in machine learning algorithms, model development, and deployment. Proven experience of 2+ years leading and mentoring a team of data scientists and machine learning engineers. Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Proficiency in programming languages such as Python/Jupyter, TensorFlow, or PyTorch. - Experience with deploying machine learning models in production environments. Strong understanding of software engineering principles and best practices. Excellent problem-solving and analytical skills. Effective communication and collaboration skills. Additional experience in any of the areas like cyber security, fraud detection, regulations, business processes in enterprises, legal discovery, etc., would be beneficial, but not mandatory. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in process excellence, business process management, or operations consulting. Experience in process improvement methodologies (e.g., Lean, Six Sigma, Agile, Business Process Model and Notation (BPMN)). Experience in project management tools and methodologies. Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. Certifications in Lean Six Sigma Black Belt (LSSBB), Certified Business Analysis Professional (CBAP), or Project Management Professional (PMP). Experience with data visualization tools (e.g., Tableau, Google Data Studio). Experience in working within the technology or digital advertising industry. Experience with Google Ads products and support processes. Experience with process mapping and business process modeling tools (e.g., Visio, Lucidchart). About the job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. As a Process Consultant in gTech Ads, you will play a role in transforming our customer delivery and internal support processes. Your work will directly enhance customer experience, efficiency, scalability, and the overall of our technical support and consulting services for Google Ads. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video. Responsibilities Conduct assessments of existing gTech Ads processes, identifying inefficiencies, bottlenecks, and areas for improvement using methodologies like Lean, Six Sigma, and Value Stream Mapping. Design and develop optimized processes, workflows, and tools that align with business objectives, improve operational efficiency, and enhance the customer experience. Lead and manage process improvement projects from initiation to closure, including defining scope, developing project plans, managing stakeholders, mitigating risks, and ensuring delivery. Partner with cross-functional teams including, Tech and Media delivery, Customer support, Vendor partners and Business operations to understand their needs, gather requirements, and drive consensus on process changes. Define key performance indicators (KPIs) to measure the impact of process improvements, monitor performance, and identify opportunities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Overview: Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities: Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications: BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) – Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Job Title: AI/ML Trainer (Contractual – 4 to 5 Months) Location: Hyderabad (Onsite Preferred) Experience Required: 2 to 4 years Contract Duration: 4 to 5 Months (Extendable based on performance and requirement) Job Type: Contractual / Freelance Trainer About the Role: We are seeking an experienced and passionate AI/ML Trainer to deliver hands-on training for a structured Artificial Intelligence & Machine Learning program. This is a contract-based opportunity ideal for professionals with strong technical expertise and a flair for teaching. Key Responsibilities: Deliver in-depth classroom and lab-based training sessions on core AI/ML topics. Design, develop, and maintain training material, assignments, and project modules. Conduct doubt-clearing sessions, assessments, and live coding exercises. Guide students through capstone projects and real-world datasets. Evaluate learner performance and provide constructive feedback. Stay updated with the latest industry trends, tools, and techniques in AI/ML. Topics to Cover: Python for Data Science Statistics and Linear Algebra Basics Machine Learning (Supervised, Unsupervised, Ensemble Techniques) Deep Learning (ANN, CNN, RNN, etc.) Natural Language Processing (NLP) Model Deployment (Flask, Streamlit, etc.) Hands-on with libraries: NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV Tools: Jupyter, Git, Google Colab, VS Code Eligibility Criteria: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 2–4 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills. Ability to mentor and engage learners of varying skill levels. Prior training or teaching experience (academic or corporate) preferred. Job Type: Contractual / Temporary Contract length: 4 months Pay: ₹466,229.74 - ₹1,666,220.30 per year Benefits: Food provided Schedule: Day shift Morning shift Work Location: In person

Pickl.AI (TransOrg’s education brand) is looking for an instructor who is technically immersed in data science/data engineering as subjects. We are looking for a creative instructor who wants to accelerate their exposure to many areas in Machine Learning, loves wearing multiple hats and can take full ownership of their work. Responsibilities: • Design and deliver data science and data engineering training programs to students at Pickl.AI partner institutions • Teach and mentor students on topics such as data analysis, machine learning, statistics, data visualisation, and other relevant topics • Create and develop instructional materials, including lesson plans, presentations, assignments, and assessments • Keep up-to-date with the latest developments in data science and incorporate new and emerging trends into the curriculum • Include hands-on and relevant case studies in the topics that you are teaching • Provide guidance and support to students throughout their learning journey, including answering questions and providing feedback on assignments and projects • Collaborate with other instructors and team members to continuously improve the curriculum and training programs • Participate in meetings and training sessions to enhance instructional skills and techniques • Maintain accurate and up-to-date records of student attendance, progress, and grades Requirements: • Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field would be preferred • Excellent knowledge and understanding of data science concepts, techniques, and tools • Strong presentation and communication skills • Ability to work independently and in a team environment • Experience in teaching or mentoring students in a classroom or online setting is a plus • Passion for teaching and helping others learn About the company: TransOrg Analytics has over a decade of specialization in machine learning and data science consulting. Pickl.AI is the education brand of TransOrg Analytics. Visit us at https://pickl.ai and www.transorg,com for details. Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e.g., R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Our Team: Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main responsibilities: The Associate Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC’d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, manuscripts, and ad-hoc data analysis requests) ; The Associate Statistical Programmer will assist in developing, implementing of programming techniques. The Associate Statistical Programmer will ensure SOPs are followed and that timelines and quality standards are met. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product – with an objective to develop statistical data outputs. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry. 2) Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS. 3) Produce well documented data packages that include tables, listings, and figures. 4) Closely follow QC plans and timelines set by senior members of the Sanofi Business Operations biostatistics and programming team. 5) Remain current on advanced programming methods Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables. About you Experience : B.Sc. or Master's degree minimum 1 years of relevant experience required, or a minimum of 6 months of relevant internship experience. Soft skills : Ability to manage timelines and Ability to work independently and within a team environment. Technical skills : Base SAS programming skills, basic knowledge SDTM & ADaM (CDISC) Education : Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages : Excellent English language knowledge – written and spoken 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. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

About Citco: The market leader. The premier provider. The best in the business. At Citco, we’ve been the front-runner in our field since our incorporation in 1948 led to the evolution of the asset servicing sector itself. This pioneering spirit continues to guide us today as we innovate and expand, push beyond the boundaries of our industry, and shape its future. From working exclusively with hedge funds to serving all alternatives, corporations and private clients, our organization has grown immensely across asset classes and geographies. For us, this progress is a pattern that we’ll only maintain as we move forward, always prioritizing our performance. So for those who want to play at the top of their game and be at the vanguard of their space, we say: Welcome to Citco. About the Team & Business Line: Fund Administration is Citco’s core business, and our alternative asset and accounting service is one of the industry’s most respected. Our continuous investment in learning and technology solutions means our people are equipped to deliver a seamless client experience. Your Role: You will Manage daily and monthly risk reporting requirements for clients Generate reports and working with complex and difficult clients Quality Assurance and regression testing of new reports and upgrades Research markets using Bloomberg, Reuters and other sources Develop new initiatives, calculation methodologies, custom solutions as specified by clients Documentation of policies and procedures Follow up and resolve questions on reports as they arise Other duties as assigned About You: Bachelor’s/Master’s Degree with 3 years – 5 years of experience Experience or background in derivatives, risk management, financial engineering, performance reporting required Quick learner, strong attention to details, ability to take initiative Ability to work under pressure Demonstrated ability to deal effectively with clients and manage service level agreements Quantitative skills include basic calculus, statistics and financial math Technical skills include advanced Excel. Should be comfortable around IT and will need to quickly learn Excel VBA, SQL, Unix Our Benefits Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location. We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect. Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

Location(s): Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN Line Of Business: Data Estate(DE) Job Category: Engineering & Technology Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Job Summary: The Data Specialist will explore and transform an existing data remediation environment to ensure the smooth execution and automation of data validation, reporting, and analysis tasks. The ideal candidate will have strong technical skills in Excel, SQL, and Python with proficiency in using Microsoft Office tools for reporting, and familiarity with data visualization tools like Power BI or Tableau. Excellent communication and leadership skills are essential to foster a collaborative and productive team environment. Responsibilities may include leading small or large teams of Full time Employees or contractors to focus on remediating data at scale. Key Responsibilities: Team Management: Work with strategic teams of 5-10 or more data analysts and specialists, as needed for specific initiatives Provide guidance, mentorship, and support to team members to achieve individual and team goals. Data Validation and Analysis: Oversee data validation processes to ensure accuracy and completeness of data. Utilize Excel, SQL, and Python for data manipulation, analysis, and validation tasks. Implement best practices for data quality and integrity. Quality Assurance (QA): Establish and maintain QA processes to ensure the accuracy and reliability of data outputs. Conduct regular audits and reviews of data processes to identify and rectify errors. Develop and enforce data governance policies and procedures. Reporting and Presentation: Create and maintain comprehensive reports using Microsoft PowerPoint, Word, and other tools. Develop insightful data visualizations and dashboards using Power BI and Tableau. Present data findings and insights to stakeholders in a clear and concise manner. Collaboration and Communication: Collaborate with cross-functional teams to understand data needs and deliver solutions. Communicate effectively with team members, stakeholders, and clients. Facilitate team meetings and discussions to ensure alignment and progress on projects. Continuous Improvement: Identify opportunities for process improvements and implement changes to enhance efficiency. Stay updated with industry trends and advancements in data management and reporting tools. Foster a culture of continuous learning and development within the team. Qualifications: Bachelor's degree in Economics, Statistics, Computer Science, Information Technology or other related fields. 3+ Years of relevant experience in similar field. Strong proficiency in Excel, SQL, and Python for data analysis and validation. Advanced skills in Microsoft PowerPoint, Word, and other reporting tools. Familiarity with Power BI and Tableau for data visualization. Experience with Databricks Excellent communication, leadership, and interpersonal skills. Strong problem-solving abilities and attention to detail. Ability to work independently and manage multiple priorities in a fast-paced environment. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s. Show more Show less

- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics The Last Mile Analytics & Quality Team is seeking a Transportation Quality Specialist who will serve as the first line of support for address resolution, geocode correction, map edits, driver support, static route management, and other operational activities related to the Transportation process and optimization. Your contributions will have a direct and significant impact on our customers' experience. This role demands quick learning and the ability to manage overlapping tasks, which are crucial to your success. You will have the opportunity to address high-impact production issues that often require coordination among multiple stakeholders and operations groups, providing you with a broad perspective on the business. Key job responsibilities Roles and Responsibilities: This includes, but is not limited to: • Follow Standard Operating Procedures (SOPs) to perform manual audits and resolve outliers/exceptions, including through internal tools and systems. • Investigate images/videos and provide recommended actions in accordance with SOPs. • Listen to customer calls, transcribing text from calls, emails, when necessary to resolve issues. • Identify patterns emerging from audits and contribute to process/program improvements. • Provide timely responses to stakeholders on related tasks as per SOP and SLA. • Systematically escalate problems to relevant owners/teams according to pre-determined processes. • Maintain records of day-to-day work by updating trackers or workflow tools. • Meet business metrics and goals, including SLA, productivity, quality, and utilization benchmarks. • Understand performance metrics and leverage them to drive business goals. • Work in a collaborative environment and contribute to the growth of the respective team/program. • Develop a global perspective and understand the nuances of various geographies that Amazon operates in. • Be flexible to work on multiple programs as per business requirements. **Shifts: Rotational (This is a 24x7 shift environment, and shifts are rotational based on business requirements). **Weekly Off: Rotational (5-day work week with 2 consecutive days off, which may change based on business requirements). Experience with Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About the Company NIIT MTS is a trusted partner for companies looking to improve their learning and talent management practices, offering a comprehensive suite of services and solutions to address various challenges and opportunities in the field. Established in 1981, NIIT MTS has a long history of helping companies transform their learning and talent ecosystems. They offer a range of solutions, including custom content development, learning delivery, learning administration, strategic consulting, and technology solutions. NIIT MTS is known for its high-quality services and expertise in helping organizations improve their workforce skills and talent management. WEBSITE- https://www.niit.com/india/about-us/ NIIT is hiring for Wipro Location - ONSITE (Gurgaon) Experience - 0-2 years Designation - Customer Support Specialist About the Role It involves handling international voice support as part of the HRO (Human Resource Outsourcing) blended process. Candidates will be responsible for delivering high-quality customer service to global clients, managing queries efficiently, and maintaining professional communication standards. This night-shift role requires excellent verbal skills, adaptability, and a strong commitment to training and performance. It offers a structured onboarding process, attractive stipends, and growth opportunities for graduates with up to 2.5 years of experience in the BPO/KPO sector. Responsibilities Handle international voice-based customer support, resolve queries professionally, and ensure customer satisfaction. Maintain clear and effective communication, follow process guidelines, and adhere to quality and compliance standards. Participate actively in training, meet performance targets, and work collaboratively in a night-shift environment. Qualifications Must be a graduate (no undergraduates allowed) 0–2.5 years of total experience (maximum 4-year gap allowed) Result-awaited candidates can apply with last 5 semester mark sheets and no backlogs BTech/MBA/MCA/MCom/MA candidates must have minimum 6 months of BPO/KPO experience Not eligible: Maths Hons, Statistics Hons, B.Ed, Elementary Education, BA LLB, BTech & MBA freshers Must have excellent communication skills Willingness to work night shifts and undergo strict training process Freshers with flawless english? Even Better. Drop your cv/resume at: Gurjyot.9.Kaur@niitmts.com I'll personally guide you through the process. #WeAreHiring #BPO #Gurgaonjobs #CareerShift #USProcess #FluentEnglishJobs #internationalvoiceprocess #internationalcustomerservice #customerservice ** NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, caste, sex, gender identity, disability, national origin, or any other protected characteristic. ** Show more Show less

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: Job Summary This position provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA). He/She maintains an awareness of emerging technologies to ensure a competitive advantage. This position automates test scenarios and expected outcomes. He/She provides expertise for UPS key business functions and supporting technologies. This position applies a comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections. This position conducts comprehensive testing and risk-based assessments of the testing objects. He/She uses source documentation as input and contributes to the planning and implementation of testing activities. This position leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders. He/She creates and selects tools and methodologies for review and approval by management. Responsibilities: Minimum 8 Years of Relevant Experience in IT Test Automation. Must be able to perform backend testing by executing SQL queries. Expertise in APIs & Web Services testing Hands-on experience in Selenium,TestNG and Cucumber frameworks Good in test execution reporting skills Expertise in Test Cases Design and Test Data management Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics. Should be well versed with Agile testing and Continuous Testing Experience with Test Management tools Knowledge on AZURE DEVOPS Understanding of SAFe Agile methodologies Should be solution-oriented and have problem solving aptitude Should have excellent communication and presentation skills Knowledge on Logistics domain will be an advantage Good to have Performance Testing experience. Knowledge on JMeter / Performance center will be an advantage. Any certifications in test automation Qualifications: Bachelor's Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred Experience with both web and client/server based testing Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Job Title: Data Scientist Location: Chennai Experience: 4-8 Years Skills Required 4+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms. Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Show more Show less

Roles And Responsibilities Experience in modelling, Marketing model development & validation Experience in campaign analytics (Email, DM, digital); Borrower/customer/marketing strategy analytics experience in BFSI; Experience in Tableau, SQL, Client facing role, requires strong communication skills Independently drive the projects, leading teams of 4-7 analysts (For TL level) Able to work in fast pace continuously evolving environment Candidate Profile Master’s or Bachelor's degree in math, statistics, economics, computer engineering or analytics related field from top-tier universities with strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work 5-12 years of consulting, analytics delivery experience preferably in finance/payments/banking domain Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required Hands-on experience of analytical tools such as SQL is mandatory Good knowledge of visualization tools such as Tableau is preferred Good knowledge of Python is preferred Show more Show less

ROLES & RESPONSIBILITIES Job Description: Data Scientist 1. Expertise in Data Science & AI/ML: 3-8 years experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). 2. Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines.; understanding of data modeling, warehousing, and ETL in Big Data contexts. 3. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). 4. Educational Background: Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics). EXPERIENCE 3-4.5 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science, SQL, TensorFlow, Pytorch

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in process excellence, business process management, or operations consulting. Experience in process improvement methodologies (e.g., Lean, Six Sigma, Agile, Business Process Model and Notation (BPMN)). Experience in project management tools and methodologies. Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. Certifications in Lean Six Sigma Black Belt (LSSBB), Certified Business Analysis Professional (CBAP), or Project Management Professional (PMP). Experience with data visualization tools (e.g., Tableau, Google Data Studio). Experience in working within the technology or digital advertising industry. Experience with Google Ads products and support processes. Experience with process mapping and business process modeling tools (e.g., Visio, Lucidchart). About the job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. As a Process Consultant in gTech Ads, you will play a role in transforming our customer delivery and internal support processes. Your work will directly enhance customer experience, efficiency, scalability, and the overall of our technical support and consulting services for Google Ads. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video. Responsibilities Conduct assessments of existing gTech Ads processes, identifying inefficiencies, bottlenecks, and areas for improvement using methodologies like Lean, Six Sigma, and Value Stream Mapping. Design and develop optimized processes, workflows, and tools that align with business objectives, improve operational efficiency, and enhance the customer experience. Lead and manage process improvement projects from initiation to closure, including defining scope, developing project plans, managing stakeholders, mitigating risks, and ensuring delivery. Partner with cross-functional teams including, Tech and Media delivery, Customer support, Vendor partners and Business operations to understand their needs, gather requirements, and drive consensus on process changes. Define key performance indicators (KPIs) to measure the impact of process improvements, monitor performance, and identify opportunities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Responsibilities Job Responsibilities: Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions. Qualifications Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Show more Show less

About the Role: Grade Level (for internal use): 10 The Role: Associate Product Owner, Investment Research The Team : We are looking for a talented Associate Product Owner to join our team in building and improving the core dealer-facing components of our Investment Research product. As an Associate Product Owner, you will partner with Product Owners/Managers to define product strategy and requirements and collaborate with stakeholders from other teams, departments, and geographies to drive initiatives forward. You will work closely with your Engineering counterparts and the Design Team to drive product and technical designs, identify technical and business dependencies, and move the product development process forward. You will be the product subject matter expert and collaborate with multiple teams across the organization. Responsibilities: Acting as an subject matter expert and leading testing and client feedback aggregation. Working to spearhead commercial feedback campaigns and using solicited client feedback to drive development. Lead the development and launch of product features with our team of developers, technologies, data scientists, and business owners, driving product development from iterative feature improvement to entirely new products Determine, maintain, and prioritize the product backlog, and translate customer requirements into user stories that can be turned into features / products by the technology teams Define stories and prioritize the team backlog to streamline the execution of project priorities, while maintaining the vision and integrity of the product Create a release plan in partnership with stakeholders, engage with Scrum Team on delivery related activities, ensure stories are executed within the overall release plan, and provide clear visibility into work progress across leadership. Build relationships across product, content, and commercial management and key stakeholders to gain buy in and support for additional product and content initiatives Work closely with our Commercial partners to understand client needs and workflows, our competition, and be able to articulate the value proposition of our products Identify key opportunities for product improvements, develop short-term preventive or detective measures, and work with our teams to quantitatively evaluate the success and performance of new and existing features Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction Keep abreast of the competitive landscape, industry trends, and digital innovation within the marketplace WHAT WE ARE LOOKING FOR: Required skills & expertise : 1-3 years of product management experience working on web products Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data, search technologies and taxonomies, web-based user interface design, and API technologies Working familiarity with road-mapping and issue tracking software applications, and Microsoft Excel, Microsoft Visual Studio, and SQL A team player who is comfortable working with a globally distributed team across time zones, and a solid communicator, both with technology teams and with non-technical stakeholders Preferred: BS or experience in finance, mathematics, economics, statistics, computer science, information management or related field PREFERRED QUALIFICATIONS : Internship experience in finance, accounting, or related discipline Knowledge of economic and accounting principles and practices, financial markets or reporting of financial data. ​ About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316903 Posted On: 2025-06-11 Location: Islamabad, Pakistan

Full-time Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less