Data Science Internship jobs at Expedia Group

Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead. As an Applied Science PhD Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services. You'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, machine learning, and/or AI, LLM, SLM and agent, ensuring our products remain at the leading edge of innovation. As an intern at Microsoft, you're stepping into a world of real impact from day one. You'll collaborate with global teams on meaningful projects, explore cutting-edge technologies like AI, and kick start your career while doing it. With a strong focus on learning and development, this is your opportunity to grow your skills, build community, and shape your future-all while being supported every step of the way. 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 and 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. Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site. #EiP #phd Responsibilities * Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. * Think through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization. * Implement prototypes of scalable systems in AI applications. * Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members. * Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems. * Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation. * Help take cleaned data and adapt for machine learning purposes, under the direction of a senior team member. Qualifications Required Qualifications: * Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. * Must have at least one additional quarter/semester of school remaining following the completion of the internship. * Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship. Other Requirements: * Ability to submit an official or unofficial academic transcript as part of the evaluation process, if selected for interviews. The base pay range for this internship is USD $6710.00 - $13270.00 per month. 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 $8760.00 - $14360.00 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* 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 Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans. The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop systems of learning for marketers. In this role, you'll directly support Microsoft's mission by enabling data-driven marketing decisions that drive customer engagement and revenue growth. As an eCommerce Data Analyst on the Media Data Science and Analytics team, you will play a critical role in establishing robust data pipelines, developing reporting capabilities, and performing in-depth analysis to uncover insights across the end-to-end direct customer experience. The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential. In this role, you will support the rhythm of business by providing actionable recommendations to stakeholders based on rigorous analysis and clear insights. You will leverage analytical techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You bring sharp analytical thinking, communication skills, and the confidence to engage with executives and stakeholders across the business. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Data Infrastructure & Reporting Define requirements for data pipelines and reporting solutions to ensure accurate, scalable, and reliable data capabilities. Build and maintain dashboards and reporting tools to track end-to-end performance of AI business solutions and marketing efforts. Cross-Functional Collaboration Collaborate with cross-functional teams (Engineering, Finance, Partners, and Business) to align data methodologies, definitions, and sources for consistency and clarity. Performance Analysis & Insights Generation Analyze performance data to uncover growth drivers, identify detractors, and generate actionable insights that inform marketing strategies and improve eCommerce experience. Provide rhythm-of-business analytics support by delivering insights, recommendations, and scalable solutions that guide business decisions and optimize outcomes. Executive Communication & Influence Prepare and deliver clear, data-driven insights and reports to stakeholders and executives, translating complex analysis into meaningful business impact for both technical and non-technical audiences. Embody our culture and values. Required/minimum qualifications Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. 4+ years of experience using data analysis tools and languages-such as SQL, Python, R, Power BI, DAX, Microsoft Fabric, Tableau, or Looker-to distill complex data into actionable insights and effectively present findings to both technical and non-technical senior-level stakeholders. Additional or preferred qualifications Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Microsoft will accept applications for the role until October 26, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data - structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. In particular, we are hiring for the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems among others. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure, we publish in top-conferences and are actively involved in open-source projects. GSL researchers and engineers have contributed hundreds of academic papers and build technologies that impacted tens of millions of dollars of Microsoft revenues/costs. We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas. Data Scientist in GSL focus on LLM based research as well as ML-for-Systems work, designed to create innovative experiences in the context of all products of Azure Data, as well as optimize and improve the efficiency of how we operate our systems. Managers in GSL act as expert guides designing a broad research agenda and working with individual researchers in pursuing world-class novel research and successfully tech transfer it to product. GSL managers are technically active. The current role is for a lead of the LLM team in GSL, where you will lead a small team in exploring research topics and creating real world impact. The team has access to powerful compute resources and frontier models that we work with and to advance. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. **Responsibilities** As a Principal Data Scientist Manager, you have an opportunity to work on the latest technology of LLMs and Data Science and apply them to some of the largest problems in industry, including practical applications of ML on workload insight and optimization, apply innovative algorithms for solving placement and load balancing problems at scale. In GSL we seek collaborative and inclusive manager who can think big, working on the bleeding edge envisioning a new future, and work with our team of researchers and engineers to make it happen. Want to change the world with data and large-scale distributed systems? Do you want to solve challenges that you didn't even know existed until you get to a large size? Come join us on the Azure data team! Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model - Live our culture; Embody our values; Practice our leadership principles. Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn. Care - Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others. Business Understanding and Impact: Leverages subject matter expertise and organizational resources to analyze overarching problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes. Anticipates roadblocks and ensures proper resources are in place to alleviate their impact. Oversees development of Product Engineering project plans and ensures evaluation of resources, risks, contingencies, requirements, assumptions, and constraints. Leads strategy development efforts spanning multiple projects and communicates efforts to senior leadership. Develops a cohesive, strategic vision and considers broader impact within discipline and within Microsoft as a whole. Data Preparation and Understanding: Leverages technical expertise to support team members and manage activities taken to construct final dataset from initial raw data. Oversees cross-collaboration efforts to ensure data is prepared in a multi-functional approach. Supports team in understanding key technologies and tools necessary for data exploration (e.g., structured query language [SQL], Python). Coaches less experienced engineers in data analysis standards and best practices. Drives discussions around ethics and privacy policies related to research processes and data/information collection. Initiates and finds new data streams and new business opportunities. Embody our culture (*************************************************** and values (******************************************************* **Qualifications** **Required/minimum qualifications** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. + 3+ years of people management experience. 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 **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. **Additional or preferred qualifications** + Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. + 7+ years of people management experience. + 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. + 7+ years experience conducting research as part of a research program (in academic or industry settings). + 5+ years experience developing and deploying live production systems, as part of a product team. + 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. \#azdat \#azuredata #gsl #azdat #azuredata Applied Sciences M6 - 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: **************************************************** 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 is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data - structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. In particular, we are hiring for the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems among others. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure, we publish in top-conferences and are actively involved in open-source projects. GSL researchers and engineers have contributed hundreds of academic papers and build technologies that impacted tens of millions of dollars of Microsoft revenues/costs. We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas. Data Scientist in GSL focus on LLM based research as well as ML-for-Systems work, designed to create innovative experiences in the context of all products of Azure Data, as well as optimize and improve the efficiency of how we operate our systems. Managers in GSL act as expert guides designing a broad research agenda and working with individual researchers in pursuing world-class novel research and successfully tech transfer it to product. GSL managers are technically active. The current role is for a lead of the LLM team in GSL, where you will lead a small team in exploring research topics and creating real world impact. The team has access to powerful compute resources and frontier models that we work with and to advance. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities As a Principal Data Scientist Manager, you have an opportunity to work on the latest technology of LLMs and Data Science and apply them to some of the largest problems in industry, including practical applications of ML on workload insight and optimization, apply innovative algorithms for solving placement and load balancing problems at scale. In GSL we seek collaborative and inclusive manager who can think big, working on the bleeding edge envisioning a new future, and work with our team of researchers and engineers to make it happen. Want to change the world with data and large-scale distributed systems? Do you want to solve challenges that you didn't even know existed until you get to a large size? Come join us on the Azure data team! Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model - Live our culture; Embody our values; Practice our leadership principles. Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn. Care - Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others. Business Understanding and Impact: Leverages subject matter expertise and organizational resources to analyze overarching problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes. Anticipates roadblocks and ensures proper resources are in place to alleviate their impact. Oversees development of Product Engineering project plans and ensures evaluation of resources, risks, contingencies, requirements, assumptions, and constraints. Leads strategy development efforts spanning multiple projects and communicates efforts to senior leadership. Develops a cohesive, strategic vision and considers broader impact within discipline and within Microsoft as a whole. Data Preparation and Understanding: Leverages technical expertise to support team members and manage activities taken to construct final dataset from initial raw data. Oversees cross-collaboration efforts to ensure data is prepared in a multi-functional approach. Supports team in understanding key technologies and tools necessary for data exploration (e.g., structured query language [SQL], Python). Coaches less experienced engineers in data analysis standards and best practices. Drives discussions around ethics and privacy policies related to research processes and data/information collection. Initiates and finds new data streams and new business opportunities. Embody our culture and values Qualifications Required/minimum qualifications * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research) * OR equivalent experience. * 3+ years of people management experience. 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 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. Additional or preferred qualifications * Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) * OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) * OR equivalent experience. * 7+ years of people management experience. * 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. * 7+ years experience conducting research as part of a research program (in academic or industry settings). * 5+ years experience developing and deploying live production systems, as part of a product team. * 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #azdat #azuredata #gsl #azdat #azuredata Applied Sciences M6 - 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: **************************************************** 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.

We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. We are looking for a Principal Data Scientist leader, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components. Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions. Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve. Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. Make independent decisions for the team and handle difficult tradeoffs. Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders. Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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. 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ Experience in applying statistics, designing experimentation and metrics particularly in Advertising platforms. Preferred Qualifications: Organizational, analytical, data science skills and intuition . 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. 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: **************************************************** Microsoft will accept applications for the role until October, 30 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #MicrosoftAI

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. As a Principal Data Scientist, you will help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. 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. Data Stewardship & Team Enablement Oversee data acquisition, formatting, and documentation while mentoring engineers on best practices in data cleaning and analysis. Lead efforts to identify data gaps and guide ethical and privacy-focused data preparation. Model Evaluation & Operational Excellence Assess and refine team models, promote scalable modeling practices, and introduce innovative evaluation techniques to ensure robust and reliable data-driven solutions. Technical Leadership & Industry Insight Stay ahead of industry trends and technologies to inform strategic direction. Write extensible, maintainable code and cultivate expertise in debugging and development best practices. Strategic Collaboration & Customer Focus Define and align business and customer goals, explore new opportunities with cross-functional teams, and deliver pragmatic, data-aligned solutions that meet customer needs. You will embody our culture and values. Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Other Requirements Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties. 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. Additional or 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. Enjoy travel and are comfortable with travel up to 25% Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. 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: **************************************************** Microsoft will accept applications and processes offers for these roles on an ongoing basis. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #ISEngineering #IPS

At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem. We're looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft's developer-focused AI suite and drives product growth. 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. Supply executives with time-critical analyses that steers major investment decisions. Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication. Identify and prioritize high ROI data opportunities for your individual work and the broader team. Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI. Mentor other data scientists, engineers, and product managers. Operationalize models and reporting. Leverage AI to accelerate workflows and amplify team productivity. Required/Minimum 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 3+ years of experience leading data science and analytics projects that delivered measurable product and growth wins 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/Additional Qualifications: 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R 5+ years of experience designing and analyzing experiments and causal inference studies 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses Experience using AI tools in data science and analytics workflows Experience both prototyping and deploying data products 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: **************************************************** Microsoft posts positions 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, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #aiplatform, #devdiv, #coreai

The Outlook Data and AI Platform team is seeking a Principal Data Science Leader to shape our data strategy, drive innovation, and build the data culture that powers Copilot and AI transformation at scale. This leader will be responsible for advancing our data science capabilities, defining product analytics best practices, and creating the data flywheel that accelerates impact across engineering, product, and customer experiences. As a Principal Data Scientist, you will partner with executives, product teams, and engineers to define the future of Outlook data and AI. You will be expected to provide strategic guidance, lead large-scale initiatives, and mentor peers while translating data insights into measurable business and product outcomes. 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. Define and execute a long-term vision for data science, analytics, and evaluation frameworks. Shape the data flywheel by creating scalable measurement and feedback loops that continuously improve product performance and user experience. Influence product and business strategy by synthesizing data, insights, and emerging research into actionable recommendations for senior leadership. Lead large-scale, cross-functional programs for data-driven evaluation, experiment pipelines, and automated measurement systems. Build, scale, and promote a culture of data-informed decision making across engineering, product, and business teams. Manage, coach and mentor data scientists and analysts, fostering excellence in experimentation, analytics, and business impact. Design and implement advanced statistical and machine learning methods to measure product effectiveness and uncover actionable insights. Establish and champion product analytics best practices (e.g., metric design, funnel analysis, experiment setup, and decision frameworks). Lead the design, execution, and analysis of A/B tests and other controlled experiments. Drive acquisition, management, and analysis of large-scale datasets to inform engineering and product innovation. Partner with engineers, designer, user researchers, and product managers to align data initiatives with product roadmaps and customer needs. Ensure seamless integration of evaluation and analytics into product workflows, from design through deployment. Serve as a trusted thought leader to executive stakeholders, communicating complex findings in a clear, actionable way. 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. Advanced knowledge of probability, statistics, experimental design, and product analytics, with a strong track record in designing and leading A/B tests, funnel analysis, and metric frameworks. Proficiency in large-scale data management and analysis using tools such as SQL, Python, R, Spark, or similar technologies. Good communication skills with the ability to collaborate effectively across teams and influence senior leadership. Strong business insight to translate data-driven findings into strategic and product outcomes. 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. 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: **************************************************** Microsoft will accept applications for the role until October 22nd, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play. Why play? Well, play is at the heart of everything we do. It's the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence. We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community. The Principal Personalization Data Scientist at Mojang Studios will lead the technical strategy, development, and execution of AI-driven personalization products and capabilities both inside and outside the game. This role leverages expertise in AI and ML algorithms, frameworks, and architectures to connect players with content they love. It is a key position in delivering our AI strategy to make Minecraft feel more personal and engaging. The Prinicpal Data Scientist will have experience working in fast-paced, innovative environments and a proven track record of delivering high-quality products to production. They should possess deep expertise in recommender-system algorithms and architectures, including collaborative filtering, matrix factorization, graph-based methods, deep-learning rankers, contextual bandits, and reinforcement-learning approaches. An understanding of representation learning is essential, particularly in areas such as user and item embeddings, sequence models, transformer-based architectures, and two-tower models. Additionally, the Principal Data Scientist should have a solid grounding in search fundamentals, including indexing, retrieval, relevance modeling, ranking, and hybrid search techniques that combine vector and keyword approaches. Expertise in evaluation methods is critical, encompassing offline metrics like NDCG (Normalized Discounted Cumulative Gain), MAP (Mean Average Precision), and recall@K as well as validation strategies and the design and analysis of online experiments such as A/B tests, guardrails, and statistical significance. The Principal Data Scientist will demonstrate software engineering fundamentals and the ability to write production-quality code using modern development practices, including GitHub workflows, CI/CD (Continuous Integration and Continuous Delivery) pipelines, and code reviews. In the end, it's the people of Mojang Studios that make this place truly special. When you join, you'll find yourself in the company of incredibly bright, warm, and creative individuals - all united and working toward a single goal. Come help us reach it! **Responsibilities** + **Design and implement large-scale Search and Personalization systems** -including real-timerecommendations, ranking, and re-ranking-that are simple, extensible, maintainable, and well-documented. + **Lead design, implementation, and code reviews** across Search and Personalization services (candidategeneration, ranking, re-ranking, real-time features) to ensure consistency, performance, reliability, and technical excellence. + **Scale personalization and search systems** to support a massive global player base and a rapidly growingcontent catalogue, ensuring high availability, low latency, and predictable performance under heavy load. + **Continuously improve existing pipelines** (data ingestion, feature engineering, model training/inference,indexing, retrieval) to reduce latency, increase relevance, and elevate overall player experience. + · **Maintain robust automated testing and evaluation frameworks** , including unit/functional tests, offline relevance metrics, and online A/B experiments with clear guardrails, success criteria, and regression monitoring. + **Drive player-centric quality and usability** by instrumenting telemetry, monitoring model and search behavior in production (drift, bias, safety, query performance), and iterating based on player outcomes and feedback. + **Act as DRI (Designated Response Individual) /ICM (Directly Responsible Individual) during incidents and high-urgency events** , ensuring timely triage, root-cause identification, communication with stakeholders, and stabilization of Search and Personalization systems. **Qualifications** **Required Qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. **Preferred Qualifications:** + Experience in AI/ML (Artifical Intelligence/Machine Learning) principles, frameworks, and tools (e.g., Generative AI, RAG (Retrieval-Augmented Generation) with experience in big-data technologies like Spark (PySpark) and Databricks. + Expertise in recommender systems and search algorithms and architectures: collaborative filtering,matrix factorization, graph-based methods, deep-learning rankers, contextual bandits, reinforcement-learningapproaches, indexing, retrieval, relevance modeling, ranking, and hybrid search (vector + keyword) + Software-engineering fundamentals and ability to write production-quality code using modern development practices (GitHub, CI/CD, code reviews). + Understanding of representation learning: user/item embeddings, sequence models, transformer-based architectures, and two-tower models. + Expertise in evaluation methods: offline metrics (NDCG, MAP, recall@K, coverage, diversity), validation strategies, and designing/analyzing online experiments (A/B tests, guardrails, statistical significance). + Skilled in MLOps (Machine Learning Operations) practices: CI/CD for ML, feature stores, model-training pipelines, deployment workflows,and monitoring for latency, drift, bias, and performance. + Expertise in real-time serving architectures: low-latency APIs, distributed serving systems, caching strategies,vector databases, and scalable cloud infrastructure. + Experience designing, deploying, and monitoring large-scale ML and personalization systems in production. + Familiarity with multiple ML domains: NLP (Natural Language Processing), predictive modeling, time-series forecasting, deep learning, and reinforcement learning. + Games-industry knowledge. + Verbal and written communication skills; ability to translate complex technical concepts to non-technical stakeholders. 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: **************************************************** 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. (**************************************************************

Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The EngThrive Insights team is responsible for understanding the developer experience. Our mission is to deliver insights that enable Microsoft to be the best place to work as an engineer, where it is fast and easy to do great work. As a Principal Data Scientist, you will partner closely with engineering and data science teams to drive insights into developer productivity. Your work will span data collection, metric research, dashboard development, and the creation of compelling, end-to-end narratives that illuminate the developer experience. Success in this position requires a strong passion and intuition for improving the developer experience, and a vision for what an industry leading developer experience can be. At Microsoft, our 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 Shape the Product Vision: Define and influence the product roadmap by aligning technical strategy with business goals and customer needs. Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making. Direct Impact: Design and implementation of dashboards, websites and other systems to deliver insights to the relevant personas. Foster Engineering Alignment: Build consensus across engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction. Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation. Mentor and Grow Talent: Support the growth of engineers through mentorship, knowledge sharing, and by enabling long-term ownership of key systems. Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging-ensuring the voice of the customer shapes product evolution. Operational Excellence: Drive operational excellence in managing and operating systems with a high bar for data quality, stability, security and privacy. Set high standards for reliability and performance. Qualifications 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 Preferred Qualifications: Deep understanding of engineering infrastructure, tools, and workflows. Proven analytics skills in research, experiments, and insights generation to solve business problems. Proven impact in building dashboards and reports for visualizing complex systems, interactive data, critical business metrics, and other similar reports. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, TypeScript/JavaScript, C#, Java, or Python OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience and expertise working with data products such as Microsoft Fabric, Databricks, or similar. Experience with data visualization technologies such as PowerBI, Tableau, Grafana, or similar. Prior experience working as a software engineer. 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: **************************************************** 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.

Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The EngThrive Insights team is responsible for understanding the developer experience. Our mission is to deliver insights that enable Microsoft to be the best place to work as an engineer, where it is fast and easy to do great work. As a Principal Data Scientist, you will partner closely with engineering and data science teams to drive insights into developer productivity. Your work will span data collection, metric research, dashboard development, and the creation of compelling, end-to-end narratives that illuminate the developer experience. Success in this position requires a strong passion and intuition for improving the developer experience, and a vision for what an industry leading developer experience can be. At Microsoft, our 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** **Shape the Product Vision:** Define and influence the product roadmap by aligning technical strategy with business goals and customer needs. **Drive Strategic Clarity:** Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making. **Direct Impact:** Design and implementation of dashboards, websites and other systems to deliver insights to the relevant personas. **Foster Engineering Alignment:** Build consensus across engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction. **Build Foundational Capabilities:** Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation. **Mentor and Grow Talent:** Support the growth of engineers through mentorship, knowledge sharing, and by enabling long-term ownership of key systems. **Champion Customer-Centric Development:** Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging-ensuring the voice of the customer shapes product evolution. **Operational Excellence:** Drive operational excellence in managing and operating systems with a high bar for data quality, stability, security and privacy. Set high standards for reliability and performance. **Qualifications** **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 **Preferred Qualifications:** Deep understanding of engineering infrastructure, tools, and workflows. Proven analytics skills in research, experiments, and insights generation to solve business problems. Proven impact in building dashboards and reports for visualizing complex systems, interactive data, critical business metrics, and other similar reports. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, TypeScript/JavaScript, C#, Java, or Python OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience and expertise working with data products such as Microsoft Fabric, Databricks, or similar. Experience with data visualization technologies such as PowerBI, Tableau, Grafana, or similar. Prior experience working as a software engineer. 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: **************************************************** 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. (**************************************************************

We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. We are looking for a Principal Data Scientist leader, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components. * Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions. * Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve. * Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business * Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. * Make independent decisions for the team and handle difficult tradeoffs. * Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders. Qualifications Required Qualifications: * Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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. * 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ * Experience in applying statistics, designing experimentation and metrics particularly in Advertising platforms. Preferred Qualifications: * Organizational, analytical, data science skills and intuition . * 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. 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: **************************************************** 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's Global Media and Partnerships team is a diverse, collaborative, solutions-oriented team committed to planning, activating and fiscally managing all paid media/advertising, strategic partnerships and agency relationships across Microsoft. The team works across business groups to tie objectives, insights and innovation together to drive business impact through world-class media investment and measurement strategies. We are seeking a highly skilled and experienced Senior Data Scientist - Media Optimization to join our dynamic team. The ideal candidate will have a background in data science, business intelligence, or business and financial analysis, along with significant experience in paid media measurement, optimization 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. **Responsibilities** Data Preparation and Understanding + Prepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads. Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness. + Evaluating for Insight and Impact + Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders. + Industry and Research Knowledge / Opportunity Identification + Provide technical feedback to the engineering team, identify business opportunities, propose collaborations, support strategy execution, leverage existing systems, share industry knowledge, and contribute to thought leadership and best practices. Modeling and Statistical Analysis + Use machine learning solutions and algorithms to identify the best approach for objectives. Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders. Write scripts in T-SQL, U-SQL, KQL, Python, and R. + Construct hypotheses, design experiments, analyze results, and communicate effectively. Develop scalable operational models with data engineering teams. Coach engineers on best practices. Understand Microsoft's Artificial Intelligence (AI) and Machine Learning (ML) tools. Break down complex topics for customers. + Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices. + Embody our culture (*************************************************** and values (************************************** . **Qualifications** **Required/minimum qualifications** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. **Additional or preferred qualifications** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. + Media Specialty Experience + 3+ years experience building predictive models. + 3+ years experience writing SQL to analyze data. + 3+ years experience writing code to include: Python, R or comparable languages. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** 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. (**************************************************************

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. The Central Program Management team at Microsoft Research is looking to build an innovation analysis capability for the lab and we want you to join us on this journey. As a Precision Health Innovation Market Analyst, you will partner with technical program managers, innovation strategists, researchers, engineers, and organizational leaders within Microsoft Research to identify and research market verticals previously unserved by the lab. You'll assess and develop a perspective on Precision Health in the Healthcare industry that is ripe for technical research exploration. We are seeking candidates with a foundation in business strategy, communication skills, and stakeholder management. The ideal candidates will exhibit a deep curiosity and interest in market shifts and the creation of new product categories driven by technological innovation and disruption. They should possess analytical thinking and the ability to synthesize complex information into clear insights. A collaborative mindset and a proactive approach to exploring emerging trends will be essential, as will the capacity to engage with diverse teams and stakeholders. We value individuals who are not only adept at navigating the business landscape but are also passionate about uncovering opportunities for growth and innovation. At Microsoft, Research Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. 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 Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Additional Responsibilities * Conduct primary and secondary market research to identify industry trends, user needs, and the research landscape, specifically targeting Precision Health and Clinical Development. Examples include life sciences, pharma, biotechnology, clinical trials. * Engage with users to gather insights into their preferences and challenges. * Investigate innovative topics and research trends in academia, startups, and industrial research labs to uncover emerging ideas and potential opportunities for collaboration. * Synthesize findings into actionable insights across research areas and leverage those insights to develop recommendations for potential breakthrough research opportunities. * Deliver project findings and recommendations in a final presentation and market report targeting an executive level audience. Qualifications Required Qualifications * Currently pursuing a PhD in Business Administration, Strategic Management, Economics, or a related field. * At least one additional quarter/semester of school remaining following the completion of the internship. Other Requirements * Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. * In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Preferred Qualifications * Bachelor's Degree in Business, Economics, Pharmacy, Biology/Biotechnology, Biomedical Sciences, Health Sciences, or related field. * Experience in marketing, strategy, business planning, management consulting, finance, and/or economics. * Experience in Clinical Development in Life Sciences. The base pay range for this internship is USD $6,710 - $13,270 per month. 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 $8,760 - $14,360 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work 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.

Data Scientist - AI & Data Science Tools Team We are seeking a pioneering, technically fluent Data Scientist to join our AI & Data Science Tools team within Microsoft Marketing's Research + Insights organization. In this high-impact role, you'll help shape the future of AI-powered product development and build tools that redefine how market research is done at scale. Why Join Us? Be at the intersection of AI innovation and marketing strategy, influencing decisions across Microsoft. Drive the design, build, testing, and scaling of cutting-edge AI tools for market research. Enjoy high visibility and the opportunity to make a lasting impact while growing your career in one of Microsoft's most forward-looking teams. About the Team Our Research + Insights team is one of the largest and most innovative market research organizations in the world, partnering closely with Microsoft's core businesses. We thrive on tackling significant business challenges, influencing decision makers, and delivering insights that shape global strategies. We are: Intellectually curious, analytical, and impact-driven. Passionate about data science, research excellence, and career growth. Committed to an open, inclusive, and transparent culture where collaboration and innovation flourish. AI Graph Management: Oversee the design, development, and ongoing management of our knowledge graph architecture to support scalable AI solutions. Product Roadmap & Rhythm of Business (ROB): Own and evolve the product roadmap and ROB processes, ensuring alignment with strategic goals and technical feasibility. Cross-Functional Collaboration: Interface with developer teams, Research + Insights research managers, Marketing leadership, and partner data science teams to translate business needs into technical requirements. Technical Communication: Articulate complex technical concepts clearly to both engineering teams and executive stakeholders. Innovation & Execution: Drive product development in a fast-paced, ambiguous environment with a focus on delivering high-impact AI tools. Embody our Culture and Values Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Technical expertise as a developer, data scientist, or technical program manager. Proven experience and engagement within the AI category, building and launching generative AI solutions. Fluency in Python and at least one additional programming languages (example: SQL, C#, Java, R, JavaScript, Scala, Go, ReactJS etc). Experience leading internal change management and enablement efforts to support the adoption of new AI technologies. Additional or preferred qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Solid foundational understanding of machine learning concepts and terminology (e.g., model training, fine-tuning, embeddings, evaluation metrics). Comfortable collaborating closely with engineering teams and making informed trade-offs based on technical constraints and business impact. Ability to think strategically and envision scalable platforms, while also diving deep into edge cases, architectural decisions, and implementation details. Highly self-directed and effective in decentralized, fast-paced environments. Deep empathy for internal users and a knack for translating complex business needs into elegant and usable product experiences. Demonstrated ownership across the full product lifecycle: requirements gathering, technical development, testing, launch, user training, and rollout. Proficient analytical skills and the ability to influence decisions with data and key performance metrics. Outstanding verbal skills, with the ability to align and influence a wide range of stakeholders. Familiarity with knowledge graph technologies and semantic data modeling. Deep familiarity with the Azure AI tech stack. Ability to operate at multiple altitudes-from strategic vision to tactical execution. This includes proficiency in communication skills, both written and presentation formats. Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Microsoft will accept applications for the role October 31, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

If you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft's success in the evolving AI landscape. We are looking for a Data Scientist II to support Compete; leveraging data and scientific models to benchmark how Microsoft products are performing relative to the competitive space and bring that "outside-in" perspective. The role is highly visible as we support senior executives with data to help inform their decision making. AI is a big focus, both as a space Microsoft competes in and we support but also as tools we are actively integrating to our personal workflows. 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. Understand problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describe the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assess current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coach less experienced engineers in standards and best practices. Use their understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understand business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as: Sales/Marketing, Operations, and new Data Monetization Schemes. Engage business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Lead customer conversations to understand, define, and solve business problems. Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influence stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics. Industry and Research Knowledge / Opportunity Identification. Use business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develop a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts. Coach and provides support to teams to execute strategy. Leverage capabilities within existing systems. Share knowledge of the industry through conferences, white papers, blog posts, etc. Research and maintains deep knowledge of industry trends, technologies, and advances. Actively contributes to the body of thought leadership and intellectual property (IP) best practices. Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develop useable data sets for modeling purposes. Contribute to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contribute to data integrity/cleanliness conversations with customers. Apply a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promote and ensures customer adoption by delivering model solutions and supporting relationships. Works with customers to overcome obstacles, develops tailored and practical solutions, and ensures proper execution. Build trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data. Write efficient, readable, extensible code from scratch that spans multiple features/solutions. Embody our culture and values. Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment. 3+ years of experience with written and verbal communication to educate and work with cross functional teams. 3+ year of experience in delivering on ambiguous projects with incomplete or imperfect data 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 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience taking sample data and scaling it up to create an estimate of the population. Experience benchmarking between metrics to calculate relative performance or share. Experience exploring to find new data and leveraging that to stand up new metrics. Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Microsoft will accept applications for the role until October 22, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

The Outlook Data and AI Platform team is seeking a Data Scientist to shape our data strategy, drive innovation, and build the data culture that powers Copilot and AI transformation at scale. This Scientist will be responsible for advancing our data science capabilities, defining product analytics best practices, and creating the data flywheel that accelerates impact across engineering, product, and customer experiences. As a Data Scientist II, you will partner with executives, product teams, and engineers to define the future of Outlook data and AI. You will be expected to provide strategic guidance, lead large-scale initiatives, and mentor peers while translating data insights into measurable business and product outcomes. 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 execute a long-term vision for data science, analytics, and evaluation frameworks. * Shape the data flywheel by creating scalable measurement and feedback loops that continuously improve product performance and user experience. * Influence product and business strategy by synthesizing data, insights, and emerging research into actionable recommendations for senior leadership. * Lead large-scale, cross-functional programs for data-driven evaluation, experiment pipelines, and automated measurement systems. * Build, scale, and promote a culture of data-informed decision making across engineering, product, and business teams. * Manage, coach and mentor data scientists and analysts, fostering excellence in experimentation, analytics, and business impact. * Design and implement advanced statistical and machine learning methods to measure product effectiveness and uncover actionable insights. * Establish and champion product analytics best practices (e.g., metric design, funnel analysis, experiment setup, and decision frameworks). * Lead the design, execution, and analysis of A/B tests and other controlled experiments. * Drive acquisition, management, and analysis of large-scale datasets to inform engineering and product innovation. * Partner with engineers, designer, user researchers, and product managers to align data initiatives with product roadmaps and customer needs. * Ensure seamless integration of evaluation and analytics into product workflows, from design through deployment. * Serve as a trusted thought leader to executive stakeholders, communicating complex findings in a clear, actionable way. Qualifications Required Qualifications: * Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience * OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. * Advanced knowledge of probability, statistics, experimental design, and product analytics, with a strong track record in designing and leading A/B tests, funnel analysis, and metric frameworks. * Proficiency in large-scale data management and analysis using tools such as SQL, Python, R, Spark, or similar technologies. Preferred Qualifications: * Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** 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.

As a Data Scientist II on the Windows Data Team, you will play a pivotal role in driving AI-powered innovation across the software development lifecycle. You will collaborate with cross-functional teams-including product management, engineering, design, and user research-to embed data-driven thinking into every stage of product development. Your responsibilities include designing and executing growth experiments, analyzing business metrics, building scalable data pipelines, and delivering actionable insights that influence product direction. You will identify instrumentation needs, define and set up metrics and OKRs, and evaluate the return on investment for new ideas. You will also build predictive models to understand customer behavior, drive personalized features, and support targeted outreach efforts. You will be expected to develop operational models at scale, conduct reviews of data analysis and modeling techniques, and invent new evaluation methods. Your work will contribute to thought leadership and best practices across the organization. Effective communication and collaboration skills are essential, as you will work in complex, ambiguous environments and apply strategic influence to deliver measurable results. 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 * Partner cross-functionally with product, engineering, design, and research teams to embed data-driven thinking throughout the product lifecycle. * Experience in building data pipelines. * Deliver actionable insights and predictive models that shape product direction and customer engagement. * Define instrumentation requirements, establish metrics and OKRs, and drive personalized features. * Review and innovation on data analysis, modeling techniques, and evaluation methods. * Champion thought leadership, strategic influence, and effective communication in complex, ambiguous environments. * Design and execute growth experiments, analyze business metrics, and evaluate ROI to guide strategic decisions. Qualifications Required Qualifications: * Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience * OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ 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 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) * OR equivalent experience. * Extensive experience in exploratory data analysis, statistical inference, predictive modeling (e.g., regression, classification), and time-series forecasting to uncover trends and drive decision-making. * Designed and analyzed experiments to validate hypotheses, optimize product features, and measure impact across diverse business scenarios. * Built and maintained scalable data pipelines to support machine learning workflows, enabling efficient data ingestion, transformation, and model deployment. * Demonstrated leadership in complex problem spaces through strategic thinking, technical depth in ML and data engineering, and a relentless drive for innovation and progress. #W+DJOBS Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** 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.

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. The Central Program Management team at Microsoft Research is looking to build an innovation analysis capability for the lab and we want you to join us on this journey. As a Precision Health Innovation Market Analyst, you will partner with technical program managers, innovation strategists, researchers, engineers, and organizational leaders within Microsoft Research to identify and research market verticals previously unserved by the lab. You'll assess and develop a perspective on Precision Health in the Healthcare industry that is ripe for technical research exploration. We are seeking candidates with a foundation in business strategy, communication skills, and stakeholder management. The ideal candidates will exhibit a deep curiosity and interest in market shifts and the creation of new product categories driven by technological innovation and disruption. They should possess analytical thinking and the ability to synthesize complex information into clear insights. A collaborative mindset and a proactive approach to exploring emerging trends will be essential, as will the capacity to engage with diverse teams and stakeholders. We value individuals who are not only adept at navigating the business landscape but are also passionate about uncovering opportunities for growth and innovation. At Microsoft, Research Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. 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** Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. **Additional Responsibilities** + Conduct primary and secondary market research to identify industry trends, user needs, and the research landscape, specifically targeting Precision Health and Clinical Development. Examples include life sciences, pharma, biotechnology, clinical trials. + Engage with users to gather insights into their preferences and challenges. + Investigate innovative topics and research trends in academia, startups, and industrial research labs to uncover emerging ideas and potential opportunities for collaboration. + Synthesize findings into actionable insights across research areas and leverage those insights to develop recommendations for potential breakthrough research opportunities. + Deliver project findings and recommendations in a final presentation and market report targeting an executive level audience. **Qualifications** **Required Qualifications** + Currently pursuing a PhD in Business Administration, Strategic Management, Economics, or a related field. + At least one additional quarter/semester of school remaining following the completion of the internship. **Other Requirements** + Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. + In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. **Preferred Qualifications** + Bachelor's Degree in Business, Economics, Pharmacy, Biology/Biotechnology, Biomedical Sciences, Health Sciences, or related field. + Experience in marketing, strategy, business planning, management consulting, finance, and/or economics. + Experience in Clinical Development in Life Sciences. The base pay range for this internship is USD $6,710 - $13,270 per month. 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 $8,760 - $14,360 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work 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. (**************************************************************