Overview

At Microsoft Ads, we’re building the future of intelligent, privacy forward measurement systems that help our advertisers understand, optimize, and accelerate their business growth across the Microsoft ecosystem.We’re looking for a Principal Product Manager – Ads Measurement to lead the vision and execution of our next generation of measurement products that help advertisers see the true value of their investments across Microsoft Ads and AI‑powered surfaces. You will define how we quantify impact, how we help marketers make smarter decisions, and how measurement becomes a strategic advantage for our customers and for Microsoft. We are committed to inclusive design and creating products that empower people of all backgrounds to do their best work. 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. 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. 

Responsibilities

• Lead vision, strategy, and roadmap for Microsoft Ads’ measurement platform.
• Build and launch measurement capabilities, including attribution, incrementality, cross‑channel reporting, and AI‑driven insights.
• Partner with engineering, UX, and data science to design, validate, and ship features with measurable customer and business impact.
• Collaborate with marketing, sales, and account teams to ensure products meet advertiser needs and drive adoption.
• Define and analyze product metrics to guide decisions and evaluate performance.

Qualifications

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience driving strategy and shipping complex data, analytics, or measurement products at scale.
• Demonstrated ability to collaborate with engineering and cross‑functional partners to deliver high‑impact features.
• Solid understanding of advertising or marketing technology, including measurement, attribution, experimentation, or performance optimization.
• Ability to translate complex technical concepts into clear product direction and customer value.
• Excellent communication, storytelling, and stakeholder management skills.

Product 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

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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.

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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.

Overview
The sports world has never been more obsessed with data.  Here at the Microsoft Sports Data Engineering team, we are too.  We are building low latency, high available pipelines that process millions of data points across thousands of leagues, tournaments and moment in time events, and helps millions of users to keep up with the live game scores from their favorite soccer teams, fill the bracket with favorite college basketball team in March madness, set their fantasy football lineups, watch highlights from the cricket world cup, cheer for their country rising up in the medal tally in Olympics and integrate this experience across everyday Microsoft products such as Copilot, Windows, Bing, Edge, MSN, Office, and more.    The Microsoft Sports Data Engineering team within Microsoft AI is seeking a Senior Software Engineer responsible for designing data ingestion platforms and services, upholding reliable data management standards, and developing and delivering data-driven solutions. These efforts collectively support the creation of advanced, innovative sports experiences. 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.  

Responsibilities
– You will provide leadership and architectural guidance in designing and maintaining robust, scalable, and efficient data ingestion pipelines and data services. – Deliver high-quality, thoroughly tested, secure, and maintainable code. – Proactively generate ideas and contribute to the continuous improvement of the technology stack, tools, and development processes. – Collaborate with cross-functional teams to effectively address business requirements while upholding engineering standards and reducing technical debt. – Diagnose and resolve issues arising in both production and development environments. – Research, evaluate, and experiment with innovative technologies to enhance system reliability, efficiency, and consistency. – Embody our culture and values

Qualifications

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. – 3+ years of experience with AWS or Azure or Google cloud technologies 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. – 4+ years of working experience in system architecture, design, development, testing, and release, including but not limited to distributed systems, microservices, database design, API design, performance tuning, telemetry design, and analysis. – Excellence in software engineering practices, coding and proficient foundation in data structures, algorithms with demonstrated testing, debugging and analytical skills.

Software Engineering IC4 – The typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC4 – L’échelle salariale de base typique pour ce rôle dans l’ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d’information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

---

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

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.

Overview
As Microsoft continues to redefine the future of AI, the Microsoft Sports team is pioneering the next generation of intelligent sports experiences across Copilot, Windows, Bing, Edge, MSN, Office, and more. We’re building AI-powered systems that deliver rich, personalized content to millions of fans worldwide — from live scores and fantasy football lineups to March Madness brackets, Olympic medal tallies, and Cricket World Cup highlights. Our mission is ambitious: to harness the power of AI to transform how fans engage with sports, making every moment more immersive, insightful, and accessible across the Microsoft ecosystem. We’re looking for a Senior Software Engineer (UX Full Stack) who combines technical excellence with a deep passion for crafting intuitive, scalable user experiences. You bring full stack fluency and a solid command of modern web technologies to architect solutions that are both elegant and enduring. In this role, you’ll actively research emerging technologies, assess their potential, and champion their adoption across our engineering stack. Your ability to navigate ambiguity, solve complex UX challenges with clarity, and advocate for best practices will be instrumental in shaping the future of sports consumer experiences. 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.  

Responsibilities
– Provide technical leadership and architectural guidance to build robust, scalable, and intuitive full-stack solutions that elevate user experiences across web platforms. – Deliver high-quality, maintainable, and secure code across both front-end and back-end layers, with a solid emphasis on performance and usability. – Drive innovation by researching emerging technologies, evaluating their potential, and championing their adoption to strengthen our UX engineering stack. – Collaborate closely with Product Management, Design, and Engineering teams to translate user needs into elegant, responsive, and accessible interfaces while upholding engineering excellence. – Proactively identify and resolve issues across development and production environments to ensure a seamless and reliable user experience. – Continuously improve development processes, tools, and frameworks to enhance team productivity and product quality. – Embody our culture and values

Qualifications

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. – 3+ years of experience with modern front-end frameworks such as React, Angular, or Vue. 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. – 5+ years of professional software engineering experience with modern front-end frameworks such as React, Angular, or Vue, and a deep understanding of templating systems and component-based architecture. – 2+ years of back-end development experience using technologies like Node.js, .NET, or Python, with a proven track record of designing scalable APIs and microservices. – Expertise in HTML, CSS, JavaScript/TypeScript, and responsive design principles to deliver polished, accessible, and high-performance user interfaces. – Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging innovations in web development and AI. – Experience with cloud platforms (e.g., Azure, AWS, or GCP) and CI/CD pipelines for deploying and maintaining production-grade applications. – Demonstrated ability to evaluate and adopt emerging technologies, frameworks, and tools to enhance engineering velocity and product quality. – Proven track record of cross-functional collaboration, working closely with Product, Design, and Engineering teams to deliver cohesive user experiences.

Software Engineering IC4 – The typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC4 – L’échelle salariale de base typique pour ce rôle dans l’ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d’information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

---

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. 
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, and data management.
• Experience in the Retail industry.
• Working knowledge and familiarity in a combination of the following data manipulation and visualization tools: Python, R, PowerPivot, Microsoft Advertising API.

#MicrosoftAI

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

Responsibilities

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Qualifications

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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

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.

Overview

We are building large scale, Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. The system integrates advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs) to model recommendations, automate analysis, generate contextual summaries, and streamline workflows across organizational tools. As a Principal Applied Scientist, you will define scientific vision and lead the development of both ML and LLM components. This includes designing robust models, driving experimentation, ensuring statistical rigor, and guiding the platform’s evolution toward greater automation, accuracy, and scalability. You will partner closely with engineering and product teams to translate research into reliable production systems, influence long-term strategy, and deliver intelligence that enables smarter, faster, and more informed decisions.

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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Responsibilities

• Define and drive the modeling strategy for the advertising recommendations platform, spanning classical machine learning (for analytics on structured data) and the use of generative AI. You will set the direction on which problems to tackle with ML (e.g. predictive modeling, anomaly detection, clustering) and how to leverage LLMs to maximize user understanding and value. 
   
• Architect end-to-end machine learning pipelines – oversee the design of data processing workflows, feature stores, model training/validation routines, and deployment mechanisms that can reliably produce daily insights for all customers. Ensure these pipelines are scalable, efficient, and maintainable, working closely with data engineering leaders on implementation. 
   
• Lead the incorporation of LLM-based components for the platform’s intelligent narrative generation. This includes guiding the development of prompt frameworks, fine-tuning strategies, and retrieval-augmented techniques so that the system can answer complex sales questions and explain insights in conversational language. 
   
• Oversee cross-team initiatives and collaboration, coordinating with engineering, program management, and stakeholder teams. You will chair technical design reviews, balance priorities, and guarantee that the data science efforts align with product requirements and timelines. 
   
• Mentor and develop the applied science team, providing technical guidance to other scientists and engineers. Champion best practices in experimentation, coding, and MLOps, and foster a culture of scientific excellence and continuous learning. 
   
• Ensure robust evaluation and governance of all AI/ML solutions. You will establish metrics for success (accuracy, precision of alerts, coverage of insights), closely monitor model performance in production, and implement processes for periodic retraining, validation, and Responsible AI compliance (addressing bias, fairness, and transparency). 
   
• Stay ahead of the curve by tracking emerging trends in AI, whether it’s new algorithms in anomaly detection or breakthroughs in large language models, and assess their potential to enhance the platform. Drive the incubation of innovative ideas, experimentally verify their benefits, and incorporate promising approaches to keep the platform technologically ahead and highly effective. 

Qualifications

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:

• 5+ years of experience with developing and deploying machine learning solutions in production, with proven ownership of complex projects end-to-end (from problem formulation and data acquisition to model deployment and monitoring). 
• 3+ years of technical leadership experience in an applied science or data science team setting – this could include leading a team of scientists or acting as the key technical decision-maker on cross-discipline projects, with responsibility for delivering major features or systems. 
• Extensive hands-on expertise in ML techniques for predictive analytics, pattern recognition, and optimization. You should be comfortable selecting and tuning algorithms for regression, classification, clustering, time-series forecasting, etc., and understand their trade-offs. 
• Strategic thinking and excellent communication abilities – capable of translating high-level business objectives into technical plans and articulating complex AI concepts and project updates to senior leadership and non-technical stakeholders.
• Proficiency in programming and data infrastructure – solid coding skills in a programming language commonly used in ML (Python, etc.), experience with machine learning frameworks (e.g. PyTorch, Tensorflow), and familiarity with data pipelines and databases. 
• Experience with natural language processing and LLMs – a deep understanding of how large language models can be applied, and practical experience either using pre-trained LLM APIs or training/fine-tuning NLP models for tasks such as summarization, question-answering, or conversational interfaces. 
• Practical exposure applying LLMs to domain heavy contexts such as medical/health, farming/agriculture, social sciences, or related settings (e.g., domain adaptation, terminology grounding, retrieval augmented patterns) while adhering to privacy and Responsible AI expectations. 
• Solid background in big data and cloud technologies – experience with Azure or similar cloud platforms for big data (Azure Synapse, Data Lake, etc.) and ML ops (Azure ML, MLflow), including building pipelines that handle streaming or real-time data for immediate insights. 
• Proven track record of innovation and impact – for example, contributions to significant AI products or platforms, authorship of influential research publications or patents, or recognized leadership in the data science community. 
• High proficiency in MLOps and AI governance – experience setting up automated training, implementing continuous monitoring and alerting for model performance, and ensuring models meet security, compliance, and ethical standards. 
• Excellent cross-organizational leadership – ability to influence and drive alignment among teams with different priorities (engineering, sales, marketing, etc.), and to build consensus for ambitious technical initiatives that span multiple orgs or disciplines. 

 

#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.