405 Econometrics Jobs - Page 17

We are looking for an exceptional candidate to lead a portfolio of programs in the domain of data analytics, data engineering, reporting and insights, in the Data Analytics Services team of GSS. You will be responsible for scaling and overseeing company-wide programs focussed around data analytics services. You will have the opportunity to drive the analysis behind various product, engineering and operations related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects. You will be leading a team of program managers in the domains of data analytics, data engineering and reporting, as we'll as help manage large vendor operations across multiple sites in driving this charter forward. ---- What You Will Do ---- Program delivery leadership - lead multiple data analytics programs at Uber, with the scope including (but not limited to) Metrics and KPI design and development BI, dashboards and reporting solutions design and development Data engineering for analytics - pipelines, data mart design and implementation Analytical deep dives, insights generation Insights for experimentation (eg, A/B testing) and other product initiatives Vendor delivery management - develop, manage and maintain vendor relationships and delivery in the domains of data analytics, including their delivery performance and quality, vendor talent sourcing and selection, managing cost and financials, run vendor transitions when needed Team management - develop, coach and mentor the team (including team leads) consisting of data analytics/engineering program managers and analysts, and enable their career development and performance management Stakeholder management - engage with and actively manage the business relationships with Uber (and when needed, external) stakeholders across product, operations, engineering and other teams globally, with the ability to represent Data Analytics Services deeply, and the rest of GSS capabilities in general as we'll Innovation and thought leadership - identify opportunities for automation and self service products and solutions in the data analytics domain, leverage leading disruptive technologies like genAI, and implement them at scale to realize business impact Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at GSS level overall, to drive organizational culture ---- What You Will Need ---- 10+ years of experience in the domains of data analytics, data engineering, reporting, insights generation - both from a technical perspective as we'll as in a consultative manner - solving for complex problems at scale Technical familiarity and experience with leading data analytics tools and softwares (python, SQL, google suite and others) Experience in stakeholder management - with internal or external client stakeholders at senior levels, ability to engage strategically as we'll as manage tactical governance Excellent team management and supervisory skills Familiarity with managing vendors, or deep experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as we'll as broader teams Track record of driving innovation and continuous improvement in data analytics services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones ---- Preferred Qualifications ---- Education in technical domains like engineering, econometrics, statistics, business management Familiarity with software product/tech domain is a plus Strong business acumen, willingness to take smart risks and grow Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Experience in handling large teams, and senior tenured reportees Familiarity with genAI tech and tools, industry-leading ML capabilities as they apply to data analytics, is a plus. Ability to understand what new tech/tools can do, and be able to apply them in the context of business Good prioritization and time management skills

Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise. We are seeking an Applied Scientist with stellar research and system building skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, reinforcement learning, and supervised fine-tuning. We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting. In this role, you will have the opportunity to work with researchers and engineers at Microsoft to push forward the product roadmap and to impact businesses. We firmly believe in building and fostering a diverse and inclusive work environment. We practice open communication and respectful dialogue. We support multiple social and career building opportunities in our team. 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 Train and deploy Language Models adapted to specific industry needs. Create and adapt novel training and fine-tuning algorithms for language models. Identifies, researches, and implements machine learning solutions given product requirements. Brings a research project to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems. Document and share best practices across the organization. Supports mentorship by assisting with onboarding of research interns or other entry-level team members. Embody our culture and values. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field OR equivalent experience. 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.

Principal Applied Scientist Noida, Uttar Pradesh, India Date posted Apr 29, 2025 Job number 1819285 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for you to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. Qualifications Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 8+ years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 9+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 5+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 5+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Responsibilities Research and Development: Develop a deep understanding of state-of-the-art tools, technologies, and methods in the research community and product groups. Design and implement fundamental technologies, and drive applied research to enable better search and information retrieval experiences for consumers and enterprises alike. Project Management: Drive projects end-to-end, from design through implementation, experimentation, and ultimately shipping features to users. Own the development of state-of-the-art machine learning and deep learning algorithms leveraging text, images, and video for analyzing and transforming content to build world-class search and AI products. Collaboration: Work in a diverse, geographically distributed team environment where collaboration and innovation are valued. Partner closely with cross-functional stakeholders (engineering, research, product management) to define project goals, success criteria, and deliverables, ensuring alignment and shared vision. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing (NLP), and related fields. Explore new opportunities and tackle emerging challenges to keep our products on the cutting edge. Lead the team to continuously improve solutions (e.g., enhancing the precision and recall of intelligent systems or bot detection algorithms) by incorporating new signals, data sources, and algorithms. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Principal Data Science Manager Hyderabad, Telangana, India Date posted Jun 11, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. 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. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

S.N SCHOOL SPECIALIZATION 1 Pharmacy (SoPR) Pharmacology Pharmacognosy Pharmaceutics Chemistry, Pharm.D 2 Architecture, Planning & Designing (SoAPD) Design Product & Design Art & Graphics Planning 3 Management & Commerce (SoMC) Digital Marketing Economics Finance HRM Agri Business IB Logistics & SCM 4 Hotel Management (SoHMT) Food Production Room Division Food & Beverage 5 Paramedical Sciences (SoPS) Physiotherapy MLT Opto MOTT Hospital Administration 6 SoEC (CSE & CA) Machine Learning C Programming Full Stack Development Big Data Java Python .Net Computer Network 7 SoEC (ME & Aerospace Engineering) Manufacturing Design Engineering Aerospace Engineering 8 SoEC (CE) Structural Engineering & Construction Management Transportation Enginneering Geotechnical / Water Resources Engineering 9 Allied Sciences (SoAS) Biotechnology Microbiology Engineering Chemistry / Applied Chemistry Food Technology / Food Sciences Technology Plant Breeding 10 Journalism & Mass Communication (SoJLA) Fine Arts (Applied Art) Fine Arts (Painting) Econometrics / Mathematical Economics Suhbam Studies / Gender Studies Public Administration Fashion Designing Journalism & Mass Communication 11 Agriculture (SoA) Plant Pathology Horticulture 12 Nursing (SoN) Medical Surgical Nursing Obsrerical and Gynecological Nursing Mental Health Nursing Child Health Nursing Community Health Nursing 13 Mathematics Mathematics Contact Us Dev Bhoomi Campus, Chakrata Road, Navgaon, Manduwala, Dehradun- 248007, Uttarakhand, INDIA Email - hr@dbuu.ac.in Mobile No. - 9258126948