Microsoft AI Health

Help Build the Future of AI in Healthcare

Microsoft AI is building frontier AI products and platforms designed to transform how people experience healthcare. We are creating new capabilities that can improve access, support clinicians, empower patients, and unlock new models of care across the healthcare ecosystem. 

We are looking for an exceptional builder to help bring these innovations to market.
This role sits at the center of product strategy, healthcare ecosystem development, commercialization, partnerships, reimbursement, policy, and go-to-market execution. You will help shape how Microsoft AI Health turns breakthrough technology into real-world healthcare impact.
You will not be joining a mature business with a fixed playbook.

You will help create the playbook.

This is a rare opportunity for someone who thrives in ambiguity, thinks from first principles, and wants to help define what becomes possible when frontier AI meets healthcare.

The Opportunity

This is not a traditional partnerships role.
It is a full-stack builder role for someone who can move fluidly across strategy, product, partnerships, commercialization, and execution.
You will help answer some of the most important questions in AI and healthcare:

• What new healthcare experiences become possible with frontier AI?
• How should AI-powered healthcare products reach patients, providers, payers, and health systems?
• Which partnerships can accelerate adoption and deepen product impact?
• What business models and reimbursement pathways will support scalable growth?
• How do we turn early product-market signals into durable, repeatable go-to-market motions?

The right person will bring the structured thinking of a strategist, the ownership mindset of an operator, the curiosity of a product builder, and the adaptability of someone who has built in startup-like environments.

What You’ll Do

Build and Commercialize New Healthcare Products

Help shape early-stage AI healthcare products from concept through market adoption. You will work across product, engineering, research, business development, policy, and commercial teams to define what should be built, how it should be positioned, and how it should scale.

Shape Go-To-Market Strategy

Develop commercialization strategies for new healthcare offerings, including product-market fit, customer segmentation, distribution, pricing, growth strategy, and sales enablement. You will help determine how Microsoft AI Health brings products to market in a way that is thoughtful, credible, and scalable.

Build Strategic Partnerships

Identify, develop, and execute partnerships across the healthcare ecosystem, including providers, payers, telehealth organizations, digital health companies, health systems, and other key industry stakeholders. You will help determine which partnerships are essential to product value, market adoption, and long-term impact.

Influence Product Direction

Bring market, customer, partner, and ecosystem insight directly into product strategy. You will help translate healthcare needs into product opportunities and ensure we are building solutions that matter to real users.

Shape Ecosystem and Reimbursement Strategy

Partner with government affairs, policy, legal, and reimbursement stakeholders to understand and influence the conditions required for scalable adoption. This may include exploring Medicare, Medicaid, commercial payer, employer, and enterprise pathways.

Create Leverage Across Microsoft

Work with existing Microsoft commercial teams, including MCAPS and other go-to-market partners, to determine when to build dedicated motions and when to enable broader Microsoft channels.

Who You Are

You are a builder at heart.
You are energized by ambiguous problems, emerging markets, and the opportunity to create something new. You are comfortable moving from a high-level strategy conversation to a detailed product or partnership decision. You can work with executives, product leaders, engineers, policy experts, and external partners, while maintaining clarity, urgency, and ownership.
You do not need every answer upfront. You know how to form hypotheses, test them quickly, learn from evidence, and iterate.
You are low ego, high ownership, deeply curious, and mission-driven. You care about building products and businesses that can meaningfully improve people’s lives.

What Great Looks Like

The strongest candidates will demonstrate:

Entrepreneurial Ownership

You take responsibility end to end. You do not wait for perfect structure, perfect information, or permission to move important work forward.

Strategic Rigor

You bring clear thinking to ambiguous problems. You can separate signal from noise, develop hypotheses, evaluate tradeoffs, and make strong recommendations.

Healthcare Fluency

You understand the complexity of the U.S. healthcare ecosystem, including providers, payers, reimbursement, health systems, digital health, policy, and commercial adoption.

Commercial Instinct

You understand how products become businesses. You can identify market opportunities, define growth motions, evaluate business models, and create paths to scale.

Product Orientation

You think deeply about users, customer needs, product value, and adoption. You can influence product decisions without needing to formally own the product roadmap.

Partnership Judgment

You know how to identify the right partners, structure meaningful collaborations, and build relationships that create durable value.

Adaptability

You are comfortable operating like a “stem cell” talent, able to flex across disciplines and specialize as the business evolves.

Clear Communication

You simplify complexity. You communicate with precision. You create alignment across senior stakeholders and cross-functional teams.

MAI Culture Alignment

Microsoft AI is building with a high bar for talent, speed, rigor, and impact. The people who thrive here are deeply mission-driven, intellectually honest, low ego, and energized by doing the best work of their lives.
This role requires someone who embodies that culture.
We are looking for someone who:

• Raises the talent density of every team they join
• Operates with urgency without sacrificing long-term judgment
• Takes ownership through completion
• Uses evidence, customer insight, and clear reasoning to guide decisions
• Asks hard questions and updates their thinking quickly
• Simplifies complexity rather than adding process
• Works as a genuine team player with low ego
• Communicates clearly, directly, and thoughtfully
• Builds for users, not internal convenience
• Thrives in small, high-impact teams with minimal hierarchy

This is a role for someone who wants to help build, learn, iterate, and create impact at the frontier of AI and healthcare.

Ideal Background

We are less focused on titles and more focused on pattern recognition.
Strong candidates may bring a combination of:

• Top-tier strategy consulting experience in healthcare
• Operating experience in healthcare technology, digital health, AI, life sciences, payer, provider, or healthcare services
• Startup or high-growth company experience
• Product commercialization experience
• Strategic partnerships or business development experience
• New venture creation, incubation, or zero-to-one building experience
• Experience working across policy, reimbursement, and healthcare commercialization

Relevant backgrounds may include candidates from firms such as McKinsey, Bain, BCG, LEK, Oliver Wyman, Accenture Strategy, or other high-caliber healthcare strategy environments, particularly those who have moved into operating roles and helped build products, businesses, partnerships, or growth engines.

Why This Role Matters

Most healthcare roles optimize existing systems.
Most AI roles focus on building technology.
This role is about connecting the two.
You will help translate frontier AI into healthcare products, partnerships, business models, and go-to-market strategies that can create real-world impact. You will work on problems where the answers are not obvious yet, but where the opportunity is enormous.
For the right person, this is more than a partnerships role.
It is a chance to help define the future of AI in healthcare, from the ground up.

Required/minimum qualifications

• Bachelor’s Degree in Business, Liberal Arts, Sciences, or related field AND 12+ years relevant work experience in a relevant role in healthcare (e.g. healthcare startup, consulting, venture capital, business development, or related field) OR equivalent experience.

Additional or preferred qualifications

• Deep knowledge of the US healthcare market
• Exceptional ability to develop and build trusting relationships with executive-level partners
• Strong communication, presentation and project management skills
• Ability to produce high quality written and presentation materials (PowerPoint, Word) with excellent attention to detail
• Strong numerical analysis (Excel) and financial literacy (understand fundamentals of P&L, balance sheet etc)
• Drive and initiative to maintain momentum, even when working solo
• Work at high speed with autonomy in a rapidly changing environment
• Relish ambiguity/uncertainty

Business Development IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 $165,600 – $272,300 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

Business Development IC6 – The typical base pay range for this role across the U.S. is USD $155,800 – $277,200 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 $202,400 – $303,600 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.

Microsoft AI Health

Help Build the Future of AI in Healthcare

Microsoft AI is building frontier AI products and platforms designed to transform how people experience healthcare. We are creating new capabilities that can improve access, support clinicians, empower patients, and unlock new models of care across the healthcare ecosystem. 

We are looking for an exceptional builder to help bring these innovations to market.
This role sits at the center of product strategy, healthcare ecosystem development, commercialization, partnerships, reimbursement, policy, and go-to-market execution. You will help shape how Microsoft AI Health turns breakthrough technology into real-world healthcare impact.
You will not be joining a mature business with a fixed playbook.

You will help create the playbook.

This is a rare opportunity for someone who thrives in ambiguity, thinks from first principles, and wants to help define what becomes possible when frontier AI meets healthcare.

The Opportunity

This is not a traditional partnerships role.
It is a full-stack builder role for someone who can move fluidly across strategy, product, partnerships, commercialization, and execution.
You will help answer some of the most important questions in AI and healthcare:

• What new healthcare experiences become possible with frontier AI?
• How should AI-powered healthcare products reach patients, providers, payers, and health systems?
• Which partnerships can accelerate adoption and deepen product impact?
• What business models and reimbursement pathways will support scalable growth?
• How do we turn early product-market signals into durable, repeatable go-to-market motions?

The right person will bring the structured thinking of a strategist, the ownership mindset of an operator, the curiosity of a product builder, and the adaptability of someone who has built in startup-like environments.

What You’ll Do

Build and Commercialize New Healthcare Products

Help shape early-stage AI healthcare products from concept through market adoption. You will work across product, engineering, research, business development, policy, and commercial teams to define what should be built, how it should be positioned, and how it should scale.

Shape Go-To-Market Strategy

Develop commercialization strategies for new healthcare offerings, including product-market fit, customer segmentation, distribution, pricing, growth strategy, and sales enablement. You will help determine how Microsoft AI Health brings products to market in a way that is thoughtful, credible, and scalable.

Build Strategic Partnerships

Identify, develop, and execute partnerships across the healthcare ecosystem, including providers, payers, telehealth organizations, digital health companies, health systems, and other key industry stakeholders. You will help determine which partnerships are essential to product value, market adoption, and long-term impact.

Influence Product Direction

Bring market, customer, partner, and ecosystem insight directly into product strategy. You will help translate healthcare needs into product opportunities and ensure we are building solutions that matter to real users.

Shape Ecosystem and Reimbursement Strategy

Partner with government affairs, policy, legal, and reimbursement stakeholders to understand and influence the conditions required for scalable adoption. This may include exploring Medicare, Medicaid, commercial payer, employer, and enterprise pathways.

Create Leverage Across Microsoft

Work with existing Microsoft commercial teams, including MCAPS and other go-to-market partners, to determine when to build dedicated motions and when to enable broader Microsoft channels.

Who You Are

You are a builder at heart.
You are energized by ambiguous problems, emerging markets, and the opportunity to create something new. You are comfortable moving from a high-level strategy conversation to a detailed product or partnership decision. You can work with executives, product leaders, engineers, policy experts, and external partners, while maintaining clarity, urgency, and ownership.
You do not need every answer upfront. You know how to form hypotheses, test them quickly, learn from evidence, and iterate.
You are low ego, high ownership, deeply curious, and mission-driven. You care about building products and businesses that can meaningfully improve people’s lives.

What Great Looks Like

The strongest candidates will demonstrate:

Entrepreneurial Ownership

You take responsibility end to end. You do not wait for perfect structure, perfect information, or permission to move important work forward.

Strategic Rigor

You bring clear thinking to ambiguous problems. You can separate signal from noise, develop hypotheses, evaluate tradeoffs, and make strong recommendations.

Healthcare Fluency

You understand the complexity of the U.S. healthcare ecosystem, including providers, payers, reimbursement, health systems, digital health, policy, and commercial adoption.

Commercial Instinct

You understand how products become businesses. You can identify market opportunities, define growth motions, evaluate business models, and create paths to scale.

Product Orientation

You think deeply about users, customer needs, product value, and adoption. You can influence product decisions without needing to formally own the product roadmap.

Partnership Judgment

You know how to identify the right partners, structure meaningful collaborations, and build relationships that create durable value.

Adaptability

You are comfortable operating like a “stem cell” talent, able to flex across disciplines and specialize as the business evolves.

Clear Communication

You simplify complexity. You communicate with precision. You create alignment across senior stakeholders and cross-functional teams.

MAI Culture Alignment

Microsoft AI is building with a high bar for talent, speed, rigor, and impact. The people who thrive here are deeply mission-driven, intellectually honest, low ego, and energized by doing the best work of their lives.
This role requires someone who embodies that culture.
We are looking for someone who:

• Raises the talent density of every team they join
• Operates with urgency without sacrificing long-term judgment
• Takes ownership through completion
• Uses evidence, customer insight, and clear reasoning to guide decisions
• Asks hard questions and updates their thinking quickly
• Simplifies complexity rather than adding process
• Works as a genuine team player with low ego
• Communicates clearly, directly, and thoughtfully
• Builds for users, not internal convenience
• Thrives in small, high-impact teams with minimal hierarchy

This is a role for someone who wants to help build, learn, iterate, and create impact at the frontier of AI and healthcare.

Ideal Background

We are less focused on titles and more focused on pattern recognition.
Strong candidates may bring a combination of:

• Top-tier strategy consulting experience in healthcare
• Operating experience in healthcare technology, digital health, AI, life sciences, payer, provider, or healthcare services
• Startup or high-growth company experience
• Product commercialization experience
• Strategic partnerships or business development experience
• New venture creation, incubation, or zero-to-one building experience
• Experience working across policy, reimbursement, and healthcare commercialization

Relevant backgrounds may include candidates from firms such as McKinsey, Bain, BCG, LEK, Oliver Wyman, Accenture Strategy, or other high-caliber healthcare strategy environments, particularly those who have moved into operating roles and helped build products, businesses, partnerships, or growth engines.

Why This Role Matters

Most healthcare roles optimize existing systems.
Most AI roles focus on building technology.
This role is about connecting the two.
You will help translate frontier AI into healthcare products, partnerships, business models, and go-to-market strategies that can create real-world impact. You will work on problems where the answers are not obvious yet, but where the opportunity is enormous.
For the right person, this is more than a partnerships role.
It is a chance to help define the future of AI in healthcare, from the ground up.

Required/minimum qualifications

• Bachelor’s Degree in Business, Liberal Arts, Sciences, or related field AND 12+ years relevant work experience in a relevant role in healthcare (e.g. healthcare startup, consulting, venture capital, business development, or related field) OR equivalent experience.

Additional or preferred qualifications

• Deep knowledge of the US healthcare market
• Exceptional ability to develop and build trusting relationships with executive-level partners
• Strong communication, presentation and project management skills
• Ability to produce high quality written and presentation materials (PowerPoint, Word) with excellent attention to detail
• Strong numerical analysis (Excel) and financial literacy (understand fundamentals of P&L, balance sheet etc)
• Drive and initiative to maintain momentum, even when working solo
• Work at high speed with autonomy in a rapidly changing environment
• Relish ambiguity/uncertainty

Business Development IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 $165,600 – $272,300 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

Business Development IC6 – The typical base pay range for this role across the U.S. is USD $155,800 – $277,200 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 $202,400 – $303,600 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.

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Ecosystem Data Science Team owns MAI‑wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high‑confidence decisions and optimize MAI‑level outcomes. 

We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric quality, statistical rigor, and data driven leadership. 

We are looking for high-energy Data Scientist, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. 

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

As a Principal, Data Science and Analytics in the team, your major responsibilities include:  

• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a strong customer focus; act as a trusted advisor across the ecosystem.

Required Qualifications:

• Doctorate 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 Master’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 Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate 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 Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

#MicrosoftAI 

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.

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Ecosystem Data Science Team owns MAI‑wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high‑confidence decisions and optimize MAI‑level outcomes. 

We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric quality, statistical rigor, and data driven leadership. 

We are looking for high-energy Data Scientist, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. 

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

As a Principal, Data Science and Analytics in the team, your major responsibilities include:  

• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a strong customer focus; act as a trusted advisor across the ecosystem.

Required Qualifications:

• Doctorate 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 Master’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 Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate 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 Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

#MicrosoftAI 

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.

Our team (Signals Modeling) builds the core intelligence that understands and predicts how users interact with ads – from the first impression through clicks, post-click engagement, and downstream business outcomes. 

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

Engineers and scientists on the team work at the intersection of deep learning, large-scale experimentation, and marketplace economics, shipping production-grade models and data pipelines that directly drive revenue and advertiser ROI. This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.
• Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) 
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    3+ years experience conducting research as part of a research program (in academic or industry settings).
    1+ year(s) experience developing and deploying live production systems, as part of a product team.
    1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience working with noisy, weak, or proxy labels, including building training signals from indirect user behavior.
• Experience with conversion, outcome, or funnel modeling (e.g., post-click modeling, engagement modeling, attribution, or similar problems).
• Familiarity with model calibration, reliability analysis, or uncertainty estimation in production systems.
• Background in causal inference, attribution, or counterfactual evaluation.
• Experience with large-scale online marketplaces or ads/recommendation systems.
• Experience designing or operating multi-task / auxiliary-task learning systems.
• Proven technical leadership in cross-team modeling efforts or platform-level ML systems.
• 4+ years of industry experience building and shipping machine learning models in production.
• Solid hands-on experience with modern ML models (e.g., deep learning, tree-based models, or linear models) and feature engineering.
• Solid understanding of supervised learning and multi-task learning.
• Practical experience working with large-scale, real-world data and building end-to-end modeling pipelines (data preparation, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation for ML systems.
• Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow).
• Ability to independently drive modeling projects from problem definition through production and iteration.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI 

Applied Sciences 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.

Our team (Signals Modeling) builds the core intelligence that understands and predicts how users interact with ads – from the first impression through clicks, post-click engagement, and downstream business outcomes. 

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

Engineers and scientists on the team work at the intersection of deep learning, large-scale experimentation, and marketplace economics, shipping production-grade models and data pipelines that directly drive revenue and advertiser ROI. This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.
• Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) 
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    3+ years experience conducting research as part of a research program (in academic or industry settings).
    1+ year(s) experience developing and deploying live production systems, as part of a product team.
    1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience working with noisy, weak, or proxy labels, including building training signals from indirect user behavior.
• Experience with conversion, outcome, or funnel modeling (e.g., post-click modeling, engagement modeling, attribution, or similar problems).
• Familiarity with model calibration, reliability analysis, or uncertainty estimation in production systems.
• Background in causal inference, attribution, or counterfactual evaluation.
• Experience with large-scale online marketplaces or ads/recommendation systems.
• Experience designing or operating multi-task / auxiliary-task learning systems.
• Proven technical leadership in cross-team modeling efforts or platform-level ML systems.
• 4+ years of industry experience building and shipping machine learning models in production.
• Solid hands-on experience with modern ML models (e.g., deep learning, tree-based models, or linear models) and feature engineering.
• Solid understanding of supervised learning and multi-task learning.
• Practical experience working with large-scale, real-world data and building end-to-end modeling pipelines (data preparation, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation for ML systems.
• Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow).
• Ability to independently drive modeling projects from problem definition through production and iteration.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI 

Applied Sciences 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.