Senior Data Science
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Exceptional value due to the significant need for data-driven solutions, high potential salary, and a role central to business decision-making.
- Attractive salary: $119,800 - $234,700/year
- Involves leading impactful data-driven projects
- High demand for data science experts
- Requires advanced technical and analytical skills
Pros
- Salary range ($119,800 - $234,700/year) aligns with high demand for data expertise
- Influences major business decisions through data science
- Opportunities for innovative project development
Cons
- Highly competitive application process
- Demanding timelines and deliverables
- Requires a robust background in statistical and programming skills
Who it's for
Senior / Lead Data Scientist • Remote with required travel
Good fit
- Experienced data scientists with advanced degrees
- Leaders in analytics wishing to drive change
- Passionate professionals eager to utilize data strategically
Not recommended for
- Entry-level candidates without relevant experience
- Those not interested in collaborative environments
- Individuals avoiding statistical and analytical tasks
Motivation fit
Key skills
About the job
Senior Data Science
Multiple Locations, United States
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Overview
Do you thrive on solving complex problems, uncovering insights, and shaping innovative solutions that make a real impact? Are you excited by the challenge of turning data into actionable strategies for some of the world’s most influential organizations? At Microsoft, we believe in empowering every person and every organization on the planet to achieve more.
Our team embraces a growth mindset, values authenticity, and encourages diverse perspectives. We combine technical excellence with creativity to deliver life-changing innovations that impact billions globally. If you’re passionate about machine learning, AI, and driving business transformation through data, this is your opportunity to lead and inspire.
As a Senior Data Scientist, you will own end-to-end delivery of strategic data science projects and partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This role blends deep technical expertise with consulting and stakeholder engagement, enabling you to influence decisions and guide adoption of data-driven strategies.
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.
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 November 7th, 2025.
Responsibilities
Business Understanding & Impact
- Own delivery of complex, high-impact data science solutions for strategic engagements.
- Collaborate with stakeholders to define business problems and translate them into actionable solutions.
- Develop project plans, assess risks, and ensure alignment with strategic objectives.
Data Preparation & Modeling
- Acquire, clean, and prepare large datasets for modeling.
- Build and deploy predictive and prescriptive models using modern machine learning techniques.
- Write efficient, maintainable code and ensure scalability for production environments.
Insight & Communication
- Present findings to senior stakeholders using compelling storytelling and visualizations.
- Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.
Collaboration & Consulting
- Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.
- Promote responsible AI practices and transparency in model development.
- Mentor junior team members and foster best practices across the organization.
