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Data Scientist - AI/ML Recommendations & Personalization

Microsoft

$100,600 - $215,400
Oct 1, 2025
Redmond, WA, USA
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Xbox Gaming AI is looking to unlock the power of real-time user signals to drive personalization, engagement, and product insights, ultimately shaping the future of how people interact with games and game creation tools.

Requirements

  • Proficiency in SQL and Python (or R), with experience using data science libraries and tools
  • Experience with real-time data processing frameworks (e.g., Spark Streaming, Flink, Kafka), ML infrastructure (e.g., model deployment, evaluation, optimization, debugging) and experience building deploying recommendation systems (retrieval, ranking, embedding, personalization)
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • 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 tec
  • 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 tec
  • equivalent experience.
  • Experience in content platforms and/or social media

Responsibilities

  • Design and implement real-time data pipelines that capture and process user behavior at scale
  • Build and evaluate machine learning models that drive personalized content, recommendations, and adaptive experiences
  • Partner with product managers and designers to define success metrics, run experiments, and translate insights into strategy
  • Develop frameworks for measuring user acquisition, activation, engagement, retention, churn, and ecosystem health across mobile and web platforms
  • Conduct deep-dive analyses to uncover opportunities for product improvement and innovation
  • Collaborate with engineering teams to ensure scalable deployment of models and data tools
  • Stay current with data science research and apply new methodologies to improve product impact

Other

  • Growth Mindset: You are always learning and seeking feedback to improve yourself and your work. You embrace challenges and see failures as opportunities to grow.
  • Be Brave. Be Bold: You are not afraid to take risks and experiment with new ideas. You are confident in your abilities and willing to challenge the status quo.
  • Collaborate: You value teamwork and collaboration. You seek diverse perspectives and feedback from others. You support your colleagues and celebrate their achievements.
  • Diversity, Equity & Inclusion: You respect and appreciate the diversity of people, backgrounds, and experiences. You promote a culture of inclusion where everyone feels welcome, valued, and heard.
  • 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.