Senior Data Scientist

Overview

Do you have a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you want to help shape the future of collaboration experience and personal computing, by helping direct where investments should happen? 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, modelling, and data science to inform decision-making, optimize product performance, and maximize business impact. Our mission is to transform data into actionable intelligence—whether it’s improving search relevance, fine-tuning foundational models, or driving growth through predictive insights. In short, we thrive on solving high-impact business problems for Windows through the power of data. 

Were looking for an enthusiastic and expert Data Scientist to help us build and deliver business Intelligence through data for experiences running on the next generation of Windows devices. Lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities. Enhance foundational models through fine-tuning and deliver insights that power enterprise growth. Your responsibilities will include working closely with a variety of teams such as program management, development, design, hardware 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.  

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

• As an expert in data science, you will take on the most complex business 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 the context of customer, engineering, and business needs. You will build everything required to uncover business opportunities and generate actionable insights that move the needle. 
• You will establish causality and conduct experiments to gain insights into quality, health of products, and customer usage. Additionally, you will lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities, while fine-tuning foundational models to improve intelligent search experiences. 
• You will engage with peers to produce clear, compelling, and data-backed hypotheses and insights which are actionable and influence product and service improvements—crafting the experience millions of customers have with Windows. You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. Through your analysis and research, you will curate and maintain Key Performance Indicators which show trends towards achieving a business goal. 
• You will learn and excel in ways to find patterns in the data that are harder to detect but can lead to achieving our business objectives. Your analysis will not only show us what we’re doing right or wrong in our current methodology, but also what customer segments and strategies we should invest more in, and how, for achieving and exceeding our goals. 
  
  

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelors Degree 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 equivalent experience.
• Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. 
• Experience in one or more programming languages, preferably C#, Python or Java. 
• A desire to mentor others and stay current with advances in the industry. 
• Demonstrated partnership, collaboration, and interpersonal skills 
• Experience with Experiment Design and analysis. 
• Ability to thrive in "startup" environment, deal with ambiguity and drive clarity. 
• A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. 
• Excellent oral and written communication skills and ability to "tell compelling stories" through data. 
  

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

• 8+ years of experience with Data Science / Analytics 
• Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL  
  
  

#W+DJOBS

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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