Data Scientist

Overview

On Site
USD 100,600.00 - 199,000.00 per year
Full Time

Skills

Advanced Analytics
Business Acumen
Accountability
Testing
Regression Analysis
Artificial Intelligence
Data Engineering
Data Quality
Analytical Skill
Collaboration
Analytics
Educate
Data Architecture
Screening
PASS
Mathematics
Statistics
Econometrics
Economics
Operations Research
Computer Science
Management
Unstructured Data
Reporting
SQL
R
Python
Statistical Models
Clustering
Big Data
Cloud Computing
Microsoft Azure
Machine Learning (ML)
Privacy
Regulatory Compliance
Communication
Quick Learner
Data Science
Integrated Circuit
Internal Communications
IC
Legal
Recruiting
Microsoft

Job Details

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.

Responsibilities:

  • 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 .

Qualifications:

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: ;br>
Microsoft will accept applications for the role until October 27, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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