Data Science Internship jobs at Expedia Group - 117 jobs

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.

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. Data Scientist PhD Interns at Microsoft, you will use machine learning, statistics, experiments, and/or AI, LLM, SLM and agents and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms, and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios. 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** + Formulate approaches to solve problems using well defined algorithms and data sources. + Incorporate an understanding of product functionality and customer perspective to provide context for those problems. + Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. + Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. + Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. + Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. **Qualifications** **Required Qualifications:** + Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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. **Preferred Qualifications:** + Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. + Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. + Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. + Some experience and or project course work with product and service telemetry systems. + Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.). + Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. 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. (**************************************************************

Join us at the forefront of innovation in Microsoft's Business Accelerated Solutions (BAS) team within the Business Industry Copilot organization-where data and insights shape the future of customer experiences and business growth. As a Data Analyst II, you will play a pivotal role in building the next generation of copilots and intelligent data agents that empower key business decisions by Microsoft leadership through data-driven insights and automation. We are looking for a Data Analyst II to join our team! Our mission is to revolutionize how data is engineered, analyzed, and activated-leveraging generative AI to deliver scalable, adaptive, and intuitive solutions that drive business and revenue growth. If you're passionate about transforming raw data into strategic advantage and want to help define the future of AI-powered analytics, this is your opportunity to lead that change. 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** + This role demands a blend of data analyst and reporting skills to contribute towards product led growth analytics for the Microsoft copilot studio product. + Business & Data Understanding: Develop a grasp of business processes, evolving data landscapes, and data lineage across multiple domains. Identify connections between first and third-party data sources to inform infrastructure and analytical frameworks. + Data Analysis & Modeling: Apply appropriate analytical and statistical techniques to address business questions, interpret results, and provide actionable recommendations. Assist in evaluating and testing data models, incorporating feedback to improve performance and accuracy. + Customer Orientation & Communication: Collaborate with stakeholders to manage expectations, interpret insights, and communicate findings clearly through dashboards, reports, and visualizations. Ensure results are accessible and tailored to audience needs. **Qualifications** Required Qualifications: + Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field + OR Bachelor's Degree in Statistics, 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 equivalent experience. + 2+ years of experience in PowerBI, AzureDataExplorer, Grifana or other data visualization tools. 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 : + Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ 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 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis + OR equivalent experience. + Experience in Product led growth analytics. + Experience in AI-driven analytics. Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** 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. (**************************************************************

Join us at the forefront of innovation in Microsoft's Business Accelerated Solutions (BAS) team within the Business Industry Copilot organization-where data and insights shape the future of customer experiences and business growth. As a Data Analyst II, you will play a pivotal role in building the next generation of copilots and intelligent data agents that empower key business decisions by Microsoft leadership through data-driven insights and automation. We are looking for a Data Analyst II to join our team! Our mission is to revolutionize how data is engineered, analyzed, and activated-leveraging generative AI to deliver scalable, adaptive, and intuitive solutions that drive business and revenue growth. If you're passionate about transforming raw data into strategic advantage and want to help define the future of AI-powered analytics, this is your opportunity to lead that change. 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 * This role demands a blend of data analyst and reporting skills to contribute towards product led growth analytics for the Microsoft copilot studio product. * Business & Data Understanding: Develop a grasp of business processes, evolving data landscapes, and data lineage across multiple domains. Identify connections between first and third-party data sources to inform infrastructure and analytical frameworks. * Data Analysis & Modeling: Apply appropriate analytical and statistical techniques to address business questions, interpret results, and provide actionable recommendations. Assist in evaluating and testing data models, incorporating feedback to improve performance and accuracy. * Customer Orientation & Communication: Collaborate with stakeholders to manage expectations, interpret insights, and communicate findings clearly through dashboards, reports, and visualizations. Ensure results are accessible and tailored to audience needs. Qualifications Required Qualifications: * Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field * OR Bachelor's Degree in Statistics, 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 equivalent experience. * 2+ years of experience in PowerBI, AzureDataExplorer, Grifana or other data visualization tools. 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 : * Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ 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 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis * OR equivalent experience. * Experience in Product led growth analytics. * Experience in AI-driven analytics. Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** 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.

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.

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. (**************************************************************

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. (**************************************************************

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. (**************************************************************

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. **Responsibilities** + Supply executives with time-critical analyses that steer 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 PMs. + Operationalize models and reporting. + Leverage AI to accelerate workflows and amplify team productivity. **Qualifications** **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. **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: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (**************************************************************

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) - the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you'll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. In the new era of AI, this role within Eng Ops Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for a Principal Data & Applied Scientist who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists. **Responsibilities** As a Principal Data and Applied Scientist in our team, you will: - Engage with product and business groups to drive impact of AI projects throughout the life cycle from idea creation through technology transfers, applied research, experimentation, implementation and finally to worldwide availability. - Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, and then verify effects through iterations. - Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback. - Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers to build tools and improve the end-to-end AI Quality of our production systems. - Mentor and guide the team, managing project schedules, milestones, KPIs, reviews, and checkpoints. - Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle - Stay abreast of the latest advancements in machine learning, Generative AI, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Other Requirements:** Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. **Preferred Qualifications** + Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. + 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). + 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. + 5+ years experience conducting research as part of a research program (in academic or industry settings). + 3+ years experience developing and deploying live production systems, as part of a product team. + 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. + Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks. + Experience delivering AI product features, AI Frameworks and AI Skills/plug-ins + Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI. \#PRIMOjobs \#EngOps 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. (**************************************************************

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft's Mission is to "Empower every person and every organization to achieve more" and Security is core to that statement. Microsoft's identity and authentication product portfolio, powered by Microsoft Entra, provide secure, seamless access to applications, devices, and data while protecting users from evolving cyber threats. With passwordless authentication, conditional access, and AI-driven security, Microsoft enables organizations to strengthen identity protection and simplify access management. Designed for enterprises and developers alike, Microsoft's identity platform ensures compliance, scalability, and innovation in securing digital environments. The Identity Security team protects Microsoft Entra and other Microsoft products by preventing, detecting, and responding to security threats. We're seeking a **_Principal Data and Applied Scientist_** to lead advanced analytics and machine learning initiatives that enhance security assurance across Microsoft Identity services. This role leverages predictive modeling, experimental design, and strategic influence to uncover emerging risks, accelerate mitigation, and optimize vulnerability management at scale. By enabling predictive insights and automating prioritization, you'll help transform risk management and drive enterprise-wide security resilience. Interested? We'd love to hear from you! 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. 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. \#MSFTSecurity, #MSFTSecurity #Identity #datascience **Responsibilities** + Risk Analytics & Automation: + Lead development of predictive and prescriptive models to identify emerging security risks and prioritize mitigation. + Operationalize vulnerability risk scoring and automation to accelerate remediation across Microsoft Identity services. + Advanced Modeling & Machine Learning: + Apply NLP and topic modeling (e.g., embeddings, LDA) to extract patterns from security case data for proactive risk identification. + Metrics & Experimental Design: + Define and deliver metrics that measure security assurance impact and business value. + Design experiments and sampling strategies to validate models and continuously improve predictive accuracy. + Continuous Improvement: + Monitor model performance, conduct error analysis, and iterate solutions to optimize vulnerability management at scale. + Drive automation that transforms risk management into a proactive, data-driven process. + Collaboration & Influence: + Partner with engineers, product managers, and architects to embed analytics into governance workflows. + Communicate insights and recommendations clearly to senior leaders and cross-functional teams. + Translate strategy into measurable plans and report progress to leadership regularly. **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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. **Preferred Qualifications:** + Experience in SQL-like query languages. + Experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++. + Organizational, analytical, and data science skills with sound judgment. + Creative problem solver with the ability to tackle unprecedented challenges. + Excellent interpersonal skills for cross-team and cross-cultural collaboration. + Hands-on experience in building real-world systems, including data design, coding, and evaluation. + Outstanding communication skills to convey insights to senior leaders and diverse audiences. + Proven ability to lead large-scale collaborations across multiple teams. + Expertise in applying statistics, experimentation, and metrics to deliver actionable insights. + Background in cybersecurity with a track record of securing enterprise environments. + Solid foundation in Security Risk Engineering, including risk assessment and mitigation strategies. 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. (**************************************************************

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. We are hiring a Principal Data Scientist to 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. Responsibilities * You will oversee data acquisition and ensure data is properly formatted and described. You'll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. * You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. * You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. * You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. * You will 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 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 * This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. 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. * 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. #ISEngineering #WSS 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.

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) - the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you'll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. In the new era of AI, this role within Eng Ops Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for a Principal Data & Applied Scientist who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists. Responsibilities As a Principal Data and Applied Scientist in our team, you will: * Engage with product and business groups to drive impact of AI projects throughout the life cycle from idea creation through technology transfers, applied research, experimentation, implementation and finally to worldwide availability. * Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, and then verify effects through iterations. * Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback. * Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers to build tools and improve the end-to-end AI Quality of our production systems. * Mentor and guide the team, managing project schedules, milestones, KPIs, reviews, and checkpoints. * Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle * Stay abreast of the latest advancements in machine learning, Generative AI, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications. Qualifications Required Qualifications: * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) * OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) * OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) * OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications * Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. * 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). * 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. * 5+ years experience conducting research as part of a research program (in academic or industry settings). * 3+ years experience developing and deploying live production systems, as part of a product team. * 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. * Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks. * Experience delivering AI product features, AI Frameworks and AI Skills/plug-ins * Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI. #PRIMOjobs #EngOps 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.

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.

Microsoft's Cloud Operations & Innovation (CO+I) team is responsible for the full lifecycle of Microsoft's cloud infrastructure, spanning site selection, development, and operations. Our global footprint includes more than 400 datacenters in 34 countries, supported by over 165,000 miles of fiber optic cable. These facilities form the backbone of Microsoft Azure and are central to our commitment to reliable, secure, and sustainable digital infrastructure. The CO+I Energy Analytics team builds data platforms and insights that support Microsoft's global datacenter growth and sustainability goals. We work across the CO+I Energy Team to translate complex energy data into trusted, actionable insights that inform decisions at scale. Our work helps the Energy Team plan, operate, and optimize responsibly as Microsoft continues to grow its cloud footprint worldwide and solidify its leadership in providing infrastructure for the global AI economy. We value diverse perspectives, a growth mindset, and data‑driven problem solving. Our team takes a collaborative, end‑to‑end approach to challenges-combining technical rigor with curiosity and continuous learning-to deliver meaningful impact. As a Data and Applied Scientist for Energy Analytics, you will focus on developing the data infrastructure necessary to operate and scale one of the world's largest corporate energy portfolios. The candidate will work across sustainability reporting, energy markets, data center operations and other cross-functional teams to build efficient architecture and integrate across these pillars to deliver solutions for the Energy team. The candidate will have the ability to ensure efficient and reliable delivery of data solutions across design, building and maintaining scalable data pipelines and other Azure infrastructure (blob storage, VMs, etc.) to automate deployment and integration workflows, as well as work closely with end users and reporting teams to understand requirements and develop targeted solutions. The candidate will have the ability to collaborate with cross-functional teams, get up to speed on new data sources or technologies quickly, and communicate clearly with technical and non-technical audiences. They will bring an innovative, collaborative presence to the role to enable energy analytics to scale our portfolio with confidence, helping the business realize growth goals, lower costs, and meet sustainability targets. This role will provide the candidate a unique opportunity to join a high impact team and gain exposure to business-critical topics of energy markets and cloud infrastructure. Responsibilities * Architect and Develop Data Pipelines: Design, build, and maintain scalable data pipelines and workflows using Python and SQL to support data integration, transformation, and loading processes. * Build and Maintain ADO Pipelines: Develop and manage Azure DevOps (ADO) pipelines and other Azure Infrastructure (subscription, blob storage, VMs, etc.) to automate deployment and integration workflows, ensuring efficient and reliable delivery of data solutions. * Implement Best Software Practices: Drive and enforce best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD) processes. * Data Quality and Governance: Ensure data quality, integrity, and governance by implementing robust data validation, monitoring, and auditing processes. * Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. 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. * 2+ years' professional experience in applications of computer science, with coding experience in Python. * 2+ years' professional experience in designing, building, and maintaining scalable data pipelines and infrastructure. * Experience in SQL databases. * Demonstrated ability to perform in ambiguous environments and thrive in a dynamic work environment. * Exceptional interpersonal and communication skills, especially the ability to explain complex issues clearly and concisely. * Experience with Azure DevOps, Azure Data Factory, Databricks, and other Azure data services. * Statistical background and/or data science experience. #COICareers | #EPCCareers | #DCDCareers 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.

Join Apple Maps, where our mission is to build the best map in the world. As a Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to inform critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you'll have runway to own significant projects, make a tangible impact, and contribute your unique perspective to a team committed to creating something truly wonderful. We are seeking a talented and experienced Data Scientist to join our cross-functional team dedicated to understanding and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, leveraging data to inform strategic direction and prioritization. This role offers significant scope to define and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive insights platform. Your day-to-day responsibilities will span the full data lifecycle, from exploratory data analysis and metrics design to conducting deep dives, crafting executive reports and presentations, and building intuitive dashboards. Prior industry experience with user engagement analytics and/or causal inference Prior proven industry experience with large data sets using technologies like Hadoop and Spark Experience writing pipelines for automating analytics tasks at scale Experience working in highly cross-functional teams Experience leading projects of varying sizes and scopes MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain 2+ years experience with data analysis at web scale or relevant work experience Proficient in Python Proficient in at least one database language (e.g., SQL, Snowflake) Strong communication and presentation skills

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. 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.