Data Scientist – AI/ML Recommendations & ...

Data Scientist – AI/ML Recommendations & PersonalizationJoin to apply for the Data Scientist – AI/ML Recommendations & Personalization role at MicrosoftAre you passionate about building intelligent systems that respond to users in real time? Do you thrive in environments where experimentation, iteration, and creativity are core to the product development process?At Xbox Gaming AI, we are exploring emerging technology trends to craft the next era of gaming. We are venturing beyond the horizon and charting a course forward with players and creators at the center. Our goal is to define the future of Xbox by advancing our mission of bringing joy and community to every player on the planet.We’re looking for a Data Scientist - AI/ML Recommendations & Personalization who can help us unlock the power of real-time user signals to drive personalization, engagement, and product insights. You’ll work closely with product, engineering, and design teams to shape the future of how people interact with games and game creation tools.You’ll be expected to bring analytical rigor, a deep understanding of user behavior, and a creative mindset to help us define what’s next.We ValueGrowth 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.ResponsibilitiesDesign and implement real-time data pipelines that capture and process user behavior at scaleBuild and evaluate machine learning models that drive personalized content, recommendations, and adaptive experiencesPartner with product managers and designers to define success metrics, run experiments, and translate insights into strategyDevelop frameworks for measuring user acquisition, activation, engagement, retention, churn, and ecosystem health across mobile and web platformsConduct deep-dive analyses to uncover opportunities for product improvement and innovationCollaborate with engineering teams to ensure scalable deployment of models and data toolsStay current with data science research and apply new methodologies to improve product impactContribute to a culture of experimentation, curiosity, and continuous learningQualificationsDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experienceOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experienceOR equivalent experience.1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.Proficiency in SQL and Python (or R), with experience using data science libraries and toolsExperience 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)Preferred QualificationsExperience in content platforms and/or social mediaAbility to work in ambiguous problem spaces and build analytical frameworks from scratchMicrosoft 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. #J-18808-Ljbffr

Created: 2025-10-06