Data Scientist
Job details
- Pay
- $102,100 – $202,200 a year
- Level
- Entry level
- Experience
- 1+ year
- Education
- Bachelor's degree
- Posted
- Jul 25, 2026
- Last confirmed open
- Oct 9, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Address
- Country/region of residence
- State
- Postal Code/Zip
- Ethnicity/Race
- Gender
- U.S. Armed Forces Status
- Veteran Status
- Please check one of the boxes below:
- Are you currently or have you ever been a member of the military, a civilian employee, or an official of any government, whether national, state, local, or foreign?
- Have you signed a non-compete or non-disclosure statement which may become an obstacle to your acceptance at Microsoft?
- Have you ever worked with Microsoft as a full-time / part-time employee, intern, vendor, agency temporary, or business guest? If yes, please provide as much information about your former employment as you can.
- As part of the online application process you were asked whether you possess certain minimum required qualifications for the role to which you are applying. By selecting yes, you agree that you answered these questions accurately. You further acknowledge that your answers may result in your application not being considered further for this role if you do not currently meet the required qualifications for the role.
- By checking this you agree to the Microsoft Data Privacy Notice (DPN) .
- By checking this, you affirm that you have familiarized yourself with the Microsoft recruiting process and agree to the candidate code of conduct .
About this role
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 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.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
Business Understanding & Impact
- Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.
- Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.
- Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles.
- Identify opportunities to leverage generative AI for business transformation and innovation.
Data Preparation & Modeling
- Acquire, clean, and prepare large datasets for modeling.
- Build and deploy predictive and prescriptive models using modern machine learning techniques.
- Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions.
- Write efficient, maintainable code and ensure scalability for production environments.
- Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
Insight, Communication & Enablement
- Present findings to senior stakeholders using compelling storytelling and visualizations.
- Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.
- Document best practices for AI application development and share knowledge across teams.
Collaboration & Consulting
- Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.
- Promote responsible AI practices, including fairness, transparency, and explainability in model and application development.
- Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities.
Qualifications
Required/minimum 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.
Additional or 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.
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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.