Jobs via Dice ยท 18 hours ago
Senior Data Scientist
Redmond, WA
Full-time
Onsite
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft's Xbox Planning & Insights team is looking for a Senior Data Scientist to shape the strategic direction of the Gaming organization through business intelligence and analytics. The role involves transforming data into decisions, developing scalable data science solutions, and driving alignment across teams to influence the future of Xbox.
Computer Software
Responsibilities
Transform data into decisions: Apply statistical, machine learning, and predictive modeling techniques to large, complex datasets to uncover opportunities, risks, and tradeoffs for product and business
Develop and deploy data science solutions: Build scalable models and algorithms for player segmentation, personalization, forecasting, and optimization
Tell a compelling data story: Create executive-ready reports, dashboards, and presentations that clearly communicate insights, implications, and recommendations. Present findings with clarity, tailoring the message to both technical and non-technical audiences
Drive alignment: Partner with engineering, product, and business stakeholders to define success metrics, align on KPIs, and drive clarity in decision-making. Experienced in cross-functional teamwork to land decisions with clarity and follow-through
Measure impact: Closely partner with the Product and Experimentation team to design and evaluate hypothesis-driven A/B tests and other experiments; ensure methodological rigor and interpret results for business impact
Advance data science best practices: Contribute to improving data pipelines, governance, and experimentation frameworks. Mentor junior team members and champion a culture of innovation and learning
Qualification
Required
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
Proficiency in SQL and at least one programming language (Python or R)
Understanding of statistical methods, experimentation design, and causal inference
Proven ability to synthesize complex data into clear, actionable insights
Demonstrated ability to connect data science work to business strategy-not just what happened, but why and what to do next
Proficiency with cloud data platforms (e.g., Azure Data Lake, Synapse, Databricks) and distributed data processing
Background in product analytics, consumer subscriptions, or gaming (or similar digital ecosystems)
Familiarity with data privacy regulations (GDPR, CCPA) and governance frameworks
Experience building scalable analytics solutions, reusable frameworks, or automation for recurring insights
Experience deploying models to production and measuring real-world impact
Company
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Funding
Current Stage
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