Senior Data Scientist

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Develops Copilot usage and quality metrics, product insights, instrumentation, and large-scale A/B experiments. Analyzes telemetry with statistical and machine-learning methods, builds data pipelines, evaluates feature performance, and communicates data-driven recommendations to leadership and cross-functional teams. Requires expertise in product analytics, experimentation, complex data, algorithms, and LLMs.
Summary Generated by Built In
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.      

AI Experiences (AIX) is seeking a Senior Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot.

We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. 

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
  • Develop metrics for copilot usage and quality.   
  • Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot. 
  • Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation 
  • Enable A|B experimentation for new features. 
  • Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own 
  • Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers 
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.    
  • Enjoy working in a fast-paced, design-driven, product development cycle.   
  • Embody our Culture and Values.    

Qualifications

Required 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.

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:

  • 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 6+ 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 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.   
  • Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.  
  • Proficiency in using one or more programming or scripting languages like Python, R, C# to work with data. 
  • Experience with prompt engineering and using LLMs.  
  • Experience building data pipelines to support analytics and experiment scenarios 
  • Experience working on product analytics to drive product improvements 
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.   
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders 
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.   
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 

#AIX

#Copilot

#DataScience

#ProductInsights


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 $160,200 - $261,000 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


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.

Skills Required

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field plus at least 1 year of data-science experience; or a master's degree plus 3 years; or a bachelor's degree plus 5 years; or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements.
  • Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
  • Doctorate in a relevant field plus 3 years of data-science experience; or a master's degree plus 6 years; or a bachelor's degree plus 8 years; or equivalent experience.
  • At least 1 year of experience with complex data, applied data science, sophisticated algorithms, large-scale A/B testing, and extensive product knowledge.
  • Experience creating metrics, predicting trends, measuring traffic patterns, and assessing experimentation results.
  • Proficiency in one or more programming or scripting languages such as Python, R, or C#.
  • Experience with prompt engineering and large language models.
  • Experience building data pipelines for analytics and experimentation scenarios.
  • Experience using product analytics to drive product improvements.
  • Ability to write clean, maintainable, well-documented code focused on quality, performance, and security.
  • Ability to collaborate with product managers, designers, engineers, and technical and non-technical stakeholders.
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

Similar Jobs

Metropolis Technologies Logo Metropolis Technologies

Senior Data Scientist

Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Easy Apply
In-Office
New York, NY, USA
23100 Employees
200K-230K Annually

Headway Logo Headway

Senior Data Scientist

Consumer Web • Healthtech • Professional Services • Social Impact • Software
Hybrid
3 Locations
819 Employees
180K-225K Annually

Tempus AI Logo Tempus AI

Senior Data Scientist

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Hybrid
4 Locations
3775 Employees
120K-180K Annually

Justworks Logo Justworks

Senior Data Scientist

HR Tech • Payments • Professional Services • Software
Easy Apply
Hybrid
New York, NY, USA
1165 Employees
166K-214K Annually

Similar Companies Hiring

Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account