Senior Data Scientist

The Insights, Data Engineering & Analytics team (IDEAS), is a central data science team for Engineering + Devices division at Microsoft. As one of the largest data science groups at Microsoft, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire E+D division.  

As a Senior Data Scientist in IDEAS team, you will be driving product & business decision making via actionable insights. You will be responsible for tracking overall product performance via metrics & key results, ensuring single version of truth and performing deep analytics. This opportunity will allow you to hone your expertise in Big Data, Data Mining, Analytical skills, problem solving, storytelling, influencing others and also thrive in a team environment that values cross team collaboration and building on the success of others.   

While many businesses collect data, few can compete with the breadth and depth of Microsoft’s products and resulting data. If you are excited to positively impact the lives of millions of people and want the challenge of working with terabytes of data at scale, this role is for you!  

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: 

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 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: 

• 5+ years experience in manipulating and analyzing complex, high-dimensionality data from varying sources to solve difficult problems.  
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.  
• Strong collaborative skills.  
• Knowledge in one or more of the following areas (or related) is a plus: SQL, PBI, Fabric, Office, C#, statistics.  
• Experience with cloud-based architectures such as Azure or AWS a plus.  

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. 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Inform product strategy through deep insights into product performance, cross team collaboration across multiple disciplines and strong storytelling.  
• Solve complex cross organizational data problems.  
• Develop strong collaborative and consultative partnership with data customers and data partners.  
• Define, generate and monitor KPIs / OKRs.  
• Automate reporting and provide exploration capability.  
• Present insights and learnings to key stakeholders & executives, drive accountability for action and impact.  
• Provide thought leadership on product strategy and investments based on insights and learning from analysis.