The Minecraft Player and Data Insights (PADI) team is looking for a Data Science  to span the creator, subscription, monetization and gameplay areas of business, plan analytical projects with stakeholders, deliver strategic insights, and help shape the future of the Minecraft franchise.  

In your product analytics role, you will focus on practical applications of visualizations, statistics, and machine learning to influence product strategy with key decisionmakers in areas including user generated content and multiplayer experiences. On the PADI team, you will be responsible for identifying opportunities to improve player and creator experiences from telemetry using big data tools, and partner independently and seamlessly, aligning and influencing to create action on insights. You will design analysis and machine learning models to uncover actionable insights about enabling new content, highlighting player journey moments, and sizing opportunities available. You will bring engagement, revenue, and player perspectives, while coaching the stakeholders to use data to move franchise objectives. PADI’s goal is to be the most impactful data team in games!  

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

• Grow relationships across teams in Minecraft, enhancing quality of collaboration, with insights to promote more data integration partnerships.  

• Evaluate business impact of potential projects. Leverage understanding of data to influence business decisions and own & advocate for analysis results.  

• Brainstorm with stakeholders to direct ambiguous questions into hypotheses and impactful analysis plans.   

• Use a variety of data science methods like time series and statistics. Proficiency in adhoc queries.  

• Strength in story telling data to stakeholders through visualizations, and dashboard & live services reporting.  

• Articulates drivers and strategies from a perspective that combines analytical and product expertise.  

• Work environment is fast-paced and requires flexibility and adaptability to align to rhythm of business.  

• Build games industry expertise. Become a Minecraft player. Gain experience with creators, mods, user generated content.  

Embody our Culture and Values 

Qualifications

 Required/Minimum 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)

o 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)

o 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)

o OR equivalent experience.

Additional or Preferred Qualifications

· Doctorate 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)

o OR Master'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)

o OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))

o OR equivalent experience.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
 

Microsoft will accept applications for the role until July 26, 2024.

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.

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

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