Entry Level Data Scientist – AI/ML Recommendations & Personalization

Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. They are seeking a Data Scientist to help unlock the power of real-time user signals to drive personalization, engagement, and product insights. The role involves designing data pipelines, building machine learning models, and collaborating with various teams to enhance user experience.

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
• Contribute to a culture of experimentation, curiosity, and continuous learning

Qualification

Required

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR 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 techniques) OR 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 techniques) OR 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 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)

Preferred

• Experience in content platforms and/or social media
• Ability to work in ambiguous problem spaces and build analytical frameworks from scratch