Microsoft is looking to hire a Data Scientist to work on advanced analytics initiatives to drive business insights and strategic decisions. The role involves designing and implementing scalable data solutions, applying rigorous statistical methods, and developing 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.
- Ability to influence organizational decisions through storytelling with data.
- Quick learner to adopt new technologies.
Responsibilities
- Design and execute controlled experiments to validate hypotheses.
- Apply 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.
- Monitor model performance and iterate based on telemetry and feedback.
- 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.
Other
- Communicate limitations and confidence intervals clearly to stakeholders.
- Translate complex analytical findings into clear business recommendations.
- Influence product and strategy decisions through data-driven insights.
- Collaborate with cross-functional teams to align analytics with organizational goals.
- 2+ years of experience with written and verbal communication to educate and work with cross functional teams.
