Senior Data Scientist

Senior • On-site

$119,800 - $234,700/yr

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

Required/Minimum 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.

Additional or preferred qualifications

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 October 28, 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:

Embody our culture and values

Microsoft

Microsoft is a global technology company that focuses on empowering every person and organization to achieve more. With a mission to deliver the core infrastructure and foundational technologies for Microsoft's online businesses, including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform, the company is dedicated to powering the 'Intelligent Cloud' mission. Microsoft values respect, integrity, and accountability, and fosters a culture of inclusion where employees can thrive. The company is committed to continuous improvement and collaboration to drive innovation and provide high-quality results to customers. With a diverse and inclusive workforce, Microsoft is an equal opportunity employer.