Senior Data Scientist

Do you want to be on the leading edge of using big data to help drive strategy, product and engineering decisions for Microsoft’s largest consumer online service as well as one of most vital commercial services – OneDrive? The OneDrive Data Science team applies our technical analytical skills, working closely with Product, Engineering, User Research, Design, Marketing and Finance to accelerate and maximize the growth one OneDrive’s Consumer and Commercial user and subscriber bases.

We are a modern product and services organization, one of the largest business & consumer services on the planet, and the second biggest workload in Office 365. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact.  We have a tremendous responsibility to our customers to help transform their content needs with Microsoft 365. We use data to organize our business priorities. We empower our industry-leading data science, design, and user research teams to own our product's user experience. We take a direct role in framing our business value directly to our customers and vibrant community of fans. 

We’re looking for a Senior Data Scientist with a proven track record of deeply understanding complex business problems and using industry-leading analytical techniques to find insights that transform our business and customer experiences.

Ideal candidates should be able to take a business or engineering problem from Product or Engineering leaders, translate it to a Data Science problem, conduct the appropriate analysis & modeling to reveal actionable insights, and then communicate those results to the OneDrive Leadership team to drive change.

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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Work cross functionally to translate business problems into ones that can be solved and informed by data analysis. 
• Have curiosity and apply analytical skills to dive deep into data to find key insights that identify business problems and potential solutions. 
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.  
• Work with other teams across Microsoft to develop key metrics to achieve business outcomes. 
• Be a champion of A/B testing: design, execute and analyze experiments to prove product change attribution.  
• Utilize tools like SQL, R, Python to execute analyses. 

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 Master's 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 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 techniques and reporting results)
  • OR equivalent experience.
• 3+ years leveraging the practical uses of statistics (i.e. experimentation, sampling). 
• Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.   
• 3+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.  

Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)