• Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
• Develop and optimize data models to support data analytics. 
• Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
• Work with a security-first mindset, focusing on system scalability and maintainability. 
• Coach and mentor peers and emerging team members while advocating for best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • 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:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field
  • AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
• Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
• Expertise in SQL and experience with RDBMS, Key Value stores. 
• Familiarity with cloud platforms and data services. 
• Excellent problem solving skills and the ability to work independently and as part of a team. 
• Solid communication skills.
• Familiarity with Azure. 
• Experience with machine learning and data science tools and frameworks. 
• Knowledge of data visualization tools (e.g., Tableau, Power BI). 
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

#MicrosoftAI 

Software Engineering 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

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.

The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.

We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.

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.

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
• Designing, prototyping, and analyzing different auction mechanisms given specific product area.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
• Implementing methods for optimizing the marketplace at the large scale.
• Developing models for causal reasoning using techniques from AI, ML, and statistics.

Required Qualifications:

• Bachelor’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 Master’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 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.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 8+ years of experience developing and deploying live production systems, as part of a product team.
• 3 Years of experience in Auto-Bidding or Auction Design.

#MicrosoftAI 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.

We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.

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.

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
• Designing, prototyping, and analyzing different auction mechanisms given specific product area.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
• Implementing methods for optimizing the marketplace at the large scale.
• Developing models for causal reasoning using techniques from AI, ML, and statistics.

Required Qualifications:

• Bachelor’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 Master’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 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.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 8+ years of experience developing and deploying live production systems, as part of a product team.
• 3 Years of experience in Auto-Bidding or Auction Design.

#MicrosoftAI 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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 Growth and Analytics 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 Scientist to drive Microsoft Content measurement strategy and partner across product and business. Given the efficiency improvement brought from AI, the candidate must drive the AI into Analytics System to improve efficiency and automate deep analysis for non-data scientist roles.

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.

• Leadership: Mentor data scientists to drive Microsoft Content product analysis and provide insights. At the same time, drive the AI Agents into Data Analysis to improve efficiency and enable data analysis for people with limited data knowledge.
• Collaboration: Partner closely with Microsoft Content Dev/PM Team and data scientists from other Product (Edge, Copilot, Ads and Search.)
• Data Strategy & Execution: Develop Agent for data analysis across Microsoft Content Org. Provide daily analysis, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply LLM based AI skills, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business.  
• 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.  
• 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 AI Agents for data analysis across the whole Microsoft Content and expand to other Product Org.  
• 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 solid customer focus; act as a trusted advisor.

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.

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 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.
• 6+ years of experience in at least one of programming languages like Python/C#/Java. 
• Great organizational, analytical, data science skills and intuition.   
• Fantastic problem solver: ability to solve problems that the world has not solved before.   
• Interpersonal skills: cross-group and cross-culture collaboration.   
• Experience with real world system building and data collection, including design, coding and evaluation.   
• Excellent communication to be able to communicate insights to senior leaders. 
• Experience with driving large collaboration across multiple teams.  
• Experience with communicating with different audiences to provide insights.
• Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.  

#MicrosoftAI 

Data Science IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

The Ads Data Management Platform team is seeking Applied Scientists to elevate the quality of User Identity graph as it scales across all MAI surfaces including copilot driving measurable impact in ads personalization, audience targeting, and measurement, and unlocking richer user insights across Microsoft Advertising. 

Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities. 

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.

• Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
• Review business requirements and incorporate research to meet business goals.
• Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

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.

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:

• 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 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 with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.

#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 $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

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.

The Ads Data Management Platform team is seeking Applied Scientists to elevate the quality of User Identity graph as it scales across all MAI surfaces including copilot driving measurable impact in ads personalization, audience targeting, and measurement, and unlocking richer user insights across Microsoft Advertising. 

Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities. 

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.

• Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
• Review business requirements and incorporate research to meet business goals.
• Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

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.

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:

• 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 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 with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.

#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 $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

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.

Business Support ATR-C – The typical base pay range for this role across the U.S. is USD $25.10 – $43.80 per hour. 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 $35.72 – $51.11 per hour.

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—affectionately known as the Deviation Detectives—plays a critical role in protecting the health and integrity of the Microsoft Ads marketplace. This role is designed for a senior individual contributor (Principal Technical Program Manager) who thrives in highly ambiguous, data‑rich environments and is motivated by solving complex, high‑impact problems at scale.

This opportunity offers a unique blend of hands‑on data work and strategic technical leadership. You will lead deep‑dive investigations, shape how the organization monitors and responds to marketplace anomalies, and influence partner teams across Ads, Bing, Edge, and Windows. Success in this role requires solid technical judgment, operational excellence, and the ability to drive outcomes across organizational boundaries.

The Mission: Make tomorrow better.

That is the essence of roles within our Microsoft Ads team. Every day, we bring deep curiosity and technical rigor to reimagine what is possible. Microsoft Ads is a sustainable, multi‑billion‑dollar business, and the Microsoft Ads platform is its economic engine. This team helps ensure that engine runs safely, efficiently, and resiliently—at global scale.

About the Team

The Microsoft Ads Live Marketplace & Forensics team is a group of experienced program managers and applied data scientists with a solid Live Site First mindset. We are responsible for monitoring, diagnosing, and resolving marketplace anomalies that impact advertisers, publishers, users, and Microsoft revenue.

We:

• Monitor hundreds of business and system metrics globally, 24×7
• Investigate deviations and anomalies across advertisers, publishers, users, and core system components
• Connect signals across seemingly unrelated data sources to uncover root causes
• Drive coordinated, cross‑organization resolution efforts across time zones
• Lead post‑incident learnings to prevent recurrence and improve system resilience

Our culture of continuous learning, customer obsession, and operational excellence is recognized at the highest levels of Microsoft leadership. We are proud pioneers of this mindset.

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.

• Lead complex, ambiguous investigations into marketplace deviations by analyzing business performance, advertiser behavior, user signals, and system health metrics across the Microsoft Ads ecosystem.
• Perform advanced data analysis across multiple large‑scale data sources to connect disparate signals and generate actionable insights.
• Serve as the technical and operational lead for high‑severity marketplace issues, driving structure, clarity, and accountability during live‑site events.
• Coordinate end‑to‑end mitigation of issues by partnering with engineering, product, data science, finance, and business teams globally.
• Drive continuous improvement of marketplace monitoring, anomaly detection, and investigation frameworks, including identifying gaps in tooling, data coverage, or automation.
• Lead deep root‑cause analyses and post‑incident reviews, ensuring learnings translate into durable fixes and long‑term prevention strategies.
• Influence best practices for incident response, operational rigor, and marketplace health management across teams.
• Participate in an on‑call rotation (approximately once every 8–10 weeks), acting as the primary point of contact during critical marketplace incidents.
• Mentor and guide other individual contributors by sharing investigation approaches, technical insights, and operational best practices.

Required Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

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:

• Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 7+ years of experience in technical program management, engineering, data analysis, data science, or product development.
• 5+ years of experience leading cross‑functional and/or cross‑team initiatives involving complex systems and multiple stakeholders.
• 5+ years working in web analytics, big data, or data science, preferably within advertising platforms or experimentation‑driven environments.
• 3+ years of experience with programming languages such as C, C#, C++, ASP.NET, or JavaScript, sufficient to reason about system behavior and data flows.
• 5+ years of experience querying large datasets using SQL.
• 5+ years of experience using analytics tools such as Python, R, Excel, Tableau, SAS, or similar technologies.
• Solid understanding of distributed systems and complex platforms, with a demonstrated service and business operations mindset.
• Excellent written and verbal communication skills, with the ability to drive alignment and action across technical and non‑technical audiences.
• Experience working in Advertising Technology (Ad Tech) or other large‑scale online marketplace platforms.
• Experience designing or evolving monitoring systems, anomaly detection frameworks, or live‑site operational processes.
• Proven ability to communicate complex technical findings and recommendations to senior and executive stakeholders.

#MicrosoftAI 

Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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—affectionately known as the Deviation Detectives—plays a critical role in protecting the health and integrity of the Microsoft Ads marketplace. This role is designed for a senior individual contributor (Principal Technical Program Manager) who thrives in highly ambiguous, data‑rich environments and is motivated by solving complex, high‑impact problems at scale.

This opportunity offers a unique blend of hands‑on data work and strategic technical leadership. You will lead deep‑dive investigations, shape how the organization monitors and responds to marketplace anomalies, and influence partner teams across Ads, Bing, Edge, and Windows. Success in this role requires solid technical judgment, operational excellence, and the ability to drive outcomes across organizational boundaries.

The Mission: Make tomorrow better.

That is the essence of roles within our Microsoft Ads team. Every day, we bring deep curiosity and technical rigor to reimagine what is possible. Microsoft Ads is a sustainable, multi‑billion‑dollar business, and the Microsoft Ads platform is its economic engine. This team helps ensure that engine runs safely, efficiently, and resiliently—at global scale.

About the Team

The Microsoft Ads Live Marketplace & Forensics team is a group of experienced program managers and applied data scientists with a solid Live Site First mindset. We are responsible for monitoring, diagnosing, and resolving marketplace anomalies that impact advertisers, publishers, users, and Microsoft revenue.

We:

• Monitor hundreds of business and system metrics globally, 24×7
• Investigate deviations and anomalies across advertisers, publishers, users, and core system components
• Connect signals across seemingly unrelated data sources to uncover root causes
• Drive coordinated, cross‑organization resolution efforts across time zones
• Lead post‑incident learnings to prevent recurrence and improve system resilience

Our culture of continuous learning, customer obsession, and operational excellence is recognized at the highest levels of Microsoft leadership. We are proud pioneers of this mindset.

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.

• Lead complex, ambiguous investigations into marketplace deviations by analyzing business performance, advertiser behavior, user signals, and system health metrics across the Microsoft Ads ecosystem.
• Perform advanced data analysis across multiple large‑scale data sources to connect disparate signals and generate actionable insights.
• Serve as the technical and operational lead for high‑severity marketplace issues, driving structure, clarity, and accountability during live‑site events.
• Coordinate end‑to‑end mitigation of issues by partnering with engineering, product, data science, finance, and business teams globally.
• Drive continuous improvement of marketplace monitoring, anomaly detection, and investigation frameworks, including identifying gaps in tooling, data coverage, or automation.
• Lead deep root‑cause analyses and post‑incident reviews, ensuring learnings translate into durable fixes and long‑term prevention strategies.
• Influence best practices for incident response, operational rigor, and marketplace health management across teams.
• Participate in an on‑call rotation (approximately once every 8–10 weeks), acting as the primary point of contact during critical marketplace incidents.
• Mentor and guide other individual contributors by sharing investigation approaches, technical insights, and operational best practices.

Required Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

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:

• Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 7+ years of experience in technical program management, engineering, data analysis, data science, or product development.
• 5+ years of experience leading cross‑functional and/or cross‑team initiatives involving complex systems and multiple stakeholders.
• 5+ years working in web analytics, big data, or data science, preferably within advertising platforms or experimentation‑driven environments.
• 3+ years of experience with programming languages such as C, C#, C++, ASP.NET, or JavaScript, sufficient to reason about system behavior and data flows.
• 5+ years of experience querying large datasets using SQL.
• 5+ years of experience using analytics tools such as Python, R, Excel, Tableau, SAS, or similar technologies.
• Solid understanding of distributed systems and complex platforms, with a demonstrated service and business operations mindset.
• Excellent written and verbal communication skills, with the ability to drive alignment and action across technical and non‑technical audiences.
• Experience working in Advertising Technology (Ad Tech) or other large‑scale online marketplace platforms.
• Experience designing or evolving monitoring systems, anomaly detection frameworks, or live‑site operational processes.
• Proven ability to communicate complex technical findings and recommendations to senior and executive stakeholders.

#MicrosoftAI 

Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

Are you passionate about architecting, building, and maintaining next-generation platforms for real-time data delivery that power Microsoft’s multi-billion-dollar advertising business? On our team, you’ll design and evolve complex systems, apply AI and next-gen technologies to solve modern engineering challenges, and collaborate with Ads and Bing teams to enable new scenarios. We’re a fast-paced, inclusive team that values innovation, learning, and impact. If you’re self-driven and excited to tackle deep technical problems at scale while shaping the future of intelligent, next-gen platforms, we’d love to work with you. 

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.