Senior Data Scientist

Responsibilities

• Design and implement predictive and prescriptive models to personalize learning content based on user roles, skills, and context.
• Collaborate with product managers, engineers, and UX researchers to translate business needs into analytical solutions.
• Develop scalable ML pipelines and integrate them into Viva Learning’s backend systems.
• Conduct experiments to evaluate model performance and iterate based on feedback and telemetry.
• Evangelize data science best practices across the team and mentor junior data scientists.
• Partner with internal teams (e.g., Azure, Graph, M365) to align on data strategy and infrastructure.
• Contribute to the development of learnability scores and semantic search enhancements for course recommendations.
• Explore and apply Generative AI techniques (e.g., LLMs, prompt engineering, fine-tuning) to enhance learning experiences, automate content generation, and improve semantic understanding.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field.
• 7+ years of experience in applied data science, including building and deploying ML models at scale.
• Proficiency in Python, R, or Scala, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Strong SQL skills and experience with data wrangling and feature engineering.
• Hands-on experience with Generative AI models (e.g., GPT, T5, BERT) and frameworks like Hugging Face or OpenAI.
• Track record leading experimentation (A/B testing/causal inference) and building productionready models, including operationalization/monitoring.
• Experience in applying analytical and problem-solving skills.
• Strong background working in cross-functional teams.
• Ability to communicate technical concepts and quantitative analysis in a clear, precise, and actionable manner to non-technical audiences.

• PhD in in Computer Science, Statistics, Data Science, or related field is a plus.
• 10+ years of experience in applied data science, including building and deploying ML models at scale.
• Experience in learning platforms, HR tech, or employee experience domains.
• Experience working with cloud-based technologies and big data solutions (e.g., Hadoop, Spark).
• Familiarity with Microsoft Graph, Viva Learning, or M365 ecosystem.
• Exposure to semantic search, knowledge graphs, or Copilot integration.
• Publications or patents in applied machine learning or AI.

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  Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
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  Microsoft 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.