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.
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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.
