
Senior Data Scientist - Minecraft
Redmond, WAJob$120–235K/yrPosted 1 day agoStill listed today
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At a glance
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Job overview
The Player and Data Insights team seeks a Senior Data Scientist to shape how Mojang Studios measures and grows the impact of marketing investments. The role partners with Marketing and Data Science teams to develop measurement strategies, evaluate performance, and identify opportunities across player acquisition, engagement, retention, and revenue. It also develops reporting, measurement frameworks, and AI-enabled analytics to support informed decisions.
Skills & qualifications
Skills
Qualifications
Full job description
Overview 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. In the end, it’s the people of Mojang Studios that make this place truly special. When you join, you’ll find yourself in the company of incredibly bright, warm, and creative individuals – all united and working toward a single goal. Come help us reach it! The Player and Data Insights team is seeking a Senior Data Scientist to shape how Mojang Studios measures, optimizes, and grows the impact of its marketing investments. You will partner closely with Marketing and Data Science teams to develop measurement strategies, evaluate marketing performance, and identify opportunities to drive player acquisition, engagement, retention, and revenue. This role combines marketing analytics, business intelligence, measurement strategy, and executive storytelling to connect campaign performance with player and business outcomes. You will develop scalable reporting, trusted measurement frameworks, and AI-enabled analytics capabilities that help teams make faster, more informed decisions.
Responsibilities
- Partner with Marketing leaders to define success metrics, measurement plans, and key performance indicators for campaigns, channels, and strategic initiatives.
- Develop and maintain executive scorecards, dashboards, and reporting solutions that provide a trusted view of marketing performance.
- Analyze campaign, channel, and player behavior data to uncover actionable insights and opportunities to improve marketing effectiveness.
- Translate complex marketing and player data into clear recommendations that influence planning, prioritization, and investment decisions.
- Partner with Data Science teams to evaluate marketing performance, understand key business drivers, and measure the impact of marketing initiatives.
- Establish consistent metrics, reporting standards, and measurement frameworks that improve trust and alignment across marketing reporting.
- Deliver recurring business reviews and performance narratives that connect marketing activity to player engagement and business outcomes.
Evaluate emerging analytics and AI capabilities that improve reporting, insight generation, and access to data-driven decision making.
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.
Preferred Qualifications:
- 8+ years of experience in data science, marketing analytics, data analytics, business intelligence, or related fields, or equivalent experience.
- Experience partnering with Marketing leaders to define measurement strategies, evaluate performance, and drive data-informed decision making.
- Experience developing executive dashboards, scorecards, business reviews, and reporting solutions that enable strategic decision making.
- Advanced SQL and/or Python skills with experience analyzing large-scale customer, player, marketing, or digital engagement datasets.
- Experience analyzing and interpreting performance data across paid media, lifecycle marketing, CRM, web analytics, or other digital marketing channels.
- Experience translating complex analytical findings into clear, actionable recommendations for technical and non-technical audiences.
- Experience applying AI-enabled analytics, automation, or self-service reporting capabilities to improve insight generation and data accessibility.
- Passion for games, player experiences, and data-informed decision making.
#mojangjobs #gamejobs
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
How this job compares
Set against the 4,446 open Data Scientist jobs on Olive Jobs, counted November 13, 2026.
- Pay
- This posting$120–235K/yr
- Washington median$143–215K/yr202 salary ranges
- US median$133–211K/yr3,540 salary ranges
This range's midpoint, $177K, is close to the Washington median midpoint ($177K) — in the middle half of Data Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 218 open Data Scientist jobs in Washington and 4,446 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon64 open
- Microsoft Corporation (this employer)18 open
- Google17 open
- Experience
- This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (3,839 postings).
- Education
- 2,205 of the 4,446 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.
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