Senior Data Scientist
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Valuable role for experienced data scientists, offering competitive compensation and opportunities for impactful analytics work in a dynamic environment.
- Salary from $119,800 to $234,700/year
- Lead strategic data-driven projects
- Foster collaboration among teams
- Extensive qualifications required
Pros
- Salary range of $119,800 to $234,700 annually.
- Opportunities for strategic engagement and high-impact analytics.
- Position allows for collaboration with diverse stakeholders.
Cons
- Extensive qualifications required for the role.
- Work may demand high levels of customer interaction.
- Potentially stressful project deadlines and client expectations.
Who it's for
Senior • Remote
Good fit
- Senior data scientists with a passion for analytics
- Professionals eager to drive data strategy
- Individuals with experience in customer engagement
Not recommended for
- Entry-level candidates or those with limited analytics experience
- People preferring solitary work environments
- Individuals reluctant to tackle client expectations
Motivation fit
Key skills
About the job
Senior Data Scientist
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.
Other Responsibilties:
