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About the Role
As a Senior Data Scientist in the Microsoft Frontier Company Engineering team, you will transform how organizations use data by developing models, running experiments, and driving evidence-based decisions with measurable business impact. You will work in multidisciplinary crews, owning the full lifecycle from data discovery to deployed solutions, powered by AI and adhering to high standards of security, quality, and trust.
Responsibilities
- Oversee acquisition of data sets, ensuring proper formatting and description.
- Address data set gaps and drive ethics and privacy discussions.
- Evaluate team models using business outcome metrics and recommend improvements.
- Develop operational models that run at scale.
- Conduct thorough reviews of data analysis and modeling techniques.
- Identify and invent new evaluation methods.
- Research industry trends and technologies to identify strategy opportunities.
- Contribute to thought leadership in best practices.
- Write extensible code that spans multiple features.
- Develop expertise in proper debugging techniques.
- Define business, customer, and solution strategy goals.
- Partner with other teams to identify and explore new opportunities.
- Acknowledge customer needs and offer pragmatic solutions aligned with their data capabilities.
- Coach engineers and cross-disciplinary partners in data science best practices.
- Scale knowledge within the cross-discipline team.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience OR equivalent experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience OR equivalent experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
Skills
- Data Science
- Managing structured and unstructured data
- Applying statistical techniques
- Reporting results
- AI
- Data discovery
- Model development
- Experimentation
- Debugging
Location
- U.S.
Work Type
- Full-time
Experience Level
- Senior
- IC4
Education Level
- Doctorate
- Master's Degree
- Bachelor's Degree
Salary/Compensations
- USD $119,800 - $234,700 per year (U.S. typical base pay range)
- USD $160,200 - $261,000 per year (San Francisco Bay area and New York City metropolitan area)
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft's mission is to empower every person and every organization on the planet to achieve more.
- Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- We build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Equal Opportunity
- Microsoft is an equal opportunity employer.
- 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.