Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Principal Data and Applied Scientist
Redmond, WA, US
Live, first seen by us 1 day ago- Pay
Multiple pay statements — pay source
Experience in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingTurn business needs into measurable problems with clear success metrics
Develop new ML or GenAI models using advanced statistical and ML techniques
Lead evaluation of GenAI solutions and diagnose root causes of issues
Write robust, reusable code to support analysis and modeling
From the employer’s posting
Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
Develop new ML or GenAI based models using advanced statistical and ML techniques.
Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
Write robust, reusable, and extensible code to support analysis and modeling.
What you’ll bring
All qualificationsPreferred experience
- Experience in Python, PySpark, and SQL.
- 6+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling.
- Experience driving product improvements through data and insights.
- Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights.
Qualification wording
Experience in Python, PySpark, and SQL.
6+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling.
Experience driving product improvements through data and insights.
Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights.
Education & alternatives
Qualifications Required/minimum 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. Other Requirements
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 2, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Aug 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Microsoft is hiring
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Snowflake
- PySpark
Where the posting names them
Preferred Qualifications - Experience in Python, PySpark, and SQL. - Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
- Experience in Python, PySpark, and SQL. - Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI. - 6+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling.
- Experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake). - Experience in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
- Experience levering AI to deliver accelerate time to insight and depth of insights - Experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake). - Experience in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
Your next step
Complete your application on microsoft.eightfold.ai. The employer’s form will show what is required.
Applying through Eightfold
- You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Overview
Responsibilities
Qualifications
With the rapid acceleration of AI and the need to deliver trustworthy, high-performing models, Microsoft's Enterprise Engineering and AI (EEAI) Data Science and Applied AI team is driving innovation at scale! Our mission is to advance AI capabilities through rigorous evaluations, fine-tuning, and large-scale experimentation to create intelligent, personalized experiences for customers worldwide. The EEAI Data Science and Applied AI team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks, optimization pipelines, and experimentation platforms that power Microsoft's AI ecosystem.
We are looking for a Principal Data and Applied Scientist to join our team! As a member of the Enterprise Engineering and AI (EEAI) Data Science and Applied AI organization at Microsoft, you will help us accelerate the company's own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft's sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
This role offers the opportunity to:
Collaborate across a diverse team of data scientists, engineers, and product managers.
Deepen your expertise in the evolving AI and ML landscape.
Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
Write robust, reusable, and extensible code to support analysis and modeling.
Develop new ML or GenAI based models using advanced statistical and ML techniques.
Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
Qualifications
Required/minimum 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.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
Experience in Python, PySpark, and SQL.
Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
6+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling.
Experience driving product improvements through data and insights.
Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights.
Experience with learning platforms and/or learner competency and skill modeling (e.g., proficiency, mastery, and skill signals).
Experience levering AI to deliver accelerate time to insight and depth of insights
Experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake).
Experience in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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
- Location & working pattern
Redmond, WA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.