Data Scientist- II

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 & data science to inform decision making, drive product performance and maximize business impact through the power of Data Science and Analytics. In short, we thrive on data to solve high impact business problems for Windows!

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

• Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios
• Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics.  
• Design and execute on Growth Experiments, analyze results to identify key insights.
• Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth.
  
  

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
• OR Masters Degree 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 consulting experience
• OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
  

Preferred Requirements

• Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
• Experience with Experiment Design and analysis.
• Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.
  
  

#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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