As a Data Scientist at Microsoft, the business problem is to drive business insights and strategic decisions through advanced analytics, design and implement scalable data solutions, apply rigorous statistical methods, and develop predictive models that influence product and business outcomes.
Requirements
- Solid understanding of distributed systems and data architecture.
- 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
- Experience with cloud platforms (Azure).
- Familiarity with ML pipelines.
- Knowledge of privacy, security, and compliance in data handling.
- 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)
- 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)
Responsibilities
- Design and execute controlled experiments to validate hypotheses.
- advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights.
- Develop predictive and prescriptive models using machine learning and AI techniques.
- Ensure models are production-ready, maintainable, and aligned with privacy and compliance standards.
- Build ad hoc and production ready data pipelines for large-scale, diverse datasets.
- Partner with Data Engineering teams to ensure robust, secure, and scalable data infrastructure.
- Implement best practices for data quality, governance, and monitoring.
Other
- 3 days / week in-office
- Travel 0-25%
- 2+ years of experience with written and verbal communication to educate and work with cross functional teams.
- 1+ year of experience in delivering on ambiguous projects with incomplete or imperfect data.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
