At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play.
Why play? Well, play is at the heart of everything we do. It's the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.
We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community.
The Data Scientist, Personalization and AI at Minecraft will support the strategy, build out, and execution of data driven products that will personalize the Minecraft player experience inside and outside of the game. This role will leverage algorithms and build predictive models to make recommendations on content and experiences, and will support the studio in enabling AI strategies across workflows, internal tools, and player experiences.
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
Analyze player lifecycle data to identify opportunities for personalized experiences inside and outside of the Minecraft game.
Support experimentation at Mojang Studios, owning KPI (Key Performance Metrics) build outs, and partner closely with Experimentation teams in hypothesis ideation, testing, and analysis.
Develop and refine algorithms and pipelines that generate recommendation scores for personalization strategies (e.g., similarity, relevance).
Collaborate with senior data scientists and stakeholders to ideate and evaluate personalization campaigns and experiments.
Write and optimize queries to extract insights from large-scale telemetry and behavioral datasets.
Translate ambiguous business questions into structured analysis plans with input from stakeholders and partners.
Support the creation and validation of machine learning models aimed at improving data driven treatments.
Document learnings, model performance, and experiment outcomes for team knowledge sharing.
Participate in code reviews and pair programming sessions to build technical proficiency.
Learn and apply ethical considerations in personalization, including privacy, fairness, and transparency.
Contribute to dashboards and reporting tools that track personalization impact across player segments.
Support experimentation efforts across organization by building of KPIs, maintaining experimentation pipelines and tools.
Support execution of AI Enablement strategies across organization, coordinating with multiple teams in building of AI solutions to improve workflows, internal tooling, and player experiences.
Clear articulate and present findings and opportunities to studio leadership.
Embody our Culture (https://careers.microsoft.com/v2/global/en/culture) & Values (https://www.microsoft.com/en-us/about/corporate-values)
Qualifications
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 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Experience building personalization models in digital products.
Preferred Qualifications:
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Bachelor's Degree 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 equivalent experience.
Games industry knowledge, subject matter expert preferred.?
Experience in AI/ML concepts, frameworks, and tools (e.g., TensorFlow, PyTorch).
Experience using big data tools such as Spark (PySpark), Databricks.?
Understanding of data science principles and methodologies.
Experience with software development processes and tools (e.g., Agile, Azure DevOps).
Verbal and written communication skills.
Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 September 03, 2025.
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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
