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 Microsoft App Store team at Hyderabad, India. Our goal is to use 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 and Microsoft App Store! 

Our team’s vision is that Windows users find it easy to discover and engage with the experiences they need most; and that ISVs (Independent Software Vendors) are excited to build Windows experiences because they can innovate, differentiate, and exceed their business goals on Windows. You will be part of a team that builds high scale, secure, reliable, low latency services that power an app experience that runs on 1.3 billion Windows devices today.  

Responsibilities

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 1.3 billion Windows devices. Your responsibilities will include working closely with a variety of teams such as Engineering, Program 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.  

Responsibilities 

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. 

Qualifications

Qualifications include: 

• Bachelor’s Degree or higher in data science, Statistics, Computer Science, Engineering or another quant-focused field 
• 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. 

• 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 

If this sounds like you, contact us now and we’d love to talk to you! Join us to move Windows forward! 

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.