Data Scientist II

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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 ML/AI. In short, we thrive on data to solve high impact business problems for Windows!

We're looking for an enthusiastic and expert Data and Applied Scientist (DAS) to help us build and deliver business Intelligence through data for experiences running on the next generation of Windows devices. 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.

Required Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
  • OR Bachelor's 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)
  • OR equivalent experience.
• 4+ 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.
• Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
• Experience in one or more programming languages, preferably C#, Python or Java.
• Experience with Experiment Design and analysis. Ability to thrive in "start up" environment, deal with ambiguity and drive clarity.

Preferred Qualifications

• 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" via data

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• As an Applied Data Scientist, you will specialize in owning and analyzing the business questions for the team.
• 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 ways to find patterns in the data that are harder to find but can lead to getting to 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 segment and strategies we should invest more in, and how, for achieving and exceeding our goals.