Data Scientist

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As a Data Scientist, you will work on advanced analytics initiatives to drive business insights and strategic decisions. You will design and implement scalable data solutions, apply rigorous statistical methods, and develop predictive models that influence product and business outcomes. This role requires solid technical depth and, business acumen to influence business outcomes.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• 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 and reporting results) or consulting experience
  • 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 and reporting results)
  • OR equivalent experience.
• 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.
• Solid understanding of distributed systems and data architecture.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

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

Preferred Qualifications:

• 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)
  • OR 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)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 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.
• Excellent communication skills to present technical concepts to non-technical audiences.
• Quick learner to adopt new technologies.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 27, 2025.

#DPG

• Statistical Analysis & Hypothesis Testing.
  • Design and execute controlled experiments to validate hypotheses.
  • Apply advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights.
  • Communicate limitations and confidence intervals clearly to stakeholders.
• Model Development & Deployment.
  • 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.
• Data Engineering & Infrastructure.
  • 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.
• Business Impact.
  • 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.
• Embody our culture and values.