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We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities. Responsibilities Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. Review business requirements and incorporate research to meet business goals. Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs. #MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>","enriched_at":1777558167704},{"id":"job_b0c24abc-ea2","title":"Senior Applied Data Scientist","source_url":"https://microsoft.ai/job/senior-applied-data-scientist-3/","location":"New York","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Microsoft Advertising empowers the world&#39;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities. Microsoft&#39;s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise 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: Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. Review business requirements and incorporate research to meet business goals. Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.</p>\n<p>Qualifications: Required brands include a Bachelor&#39;s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, combined with 4+ years of relevant experience, or a Master&#39;s degree in the same field, combined with 3+ years of relevant experience. A Doctorate in the same field, combined with 1+ year of relevant experience, is also acceptable. Preferred qualifications include a Master&#39;s degree in the same field, combined with 6+ years of relevant experience, or a Doctorate in the same field, combined with 3+ years of relevant experience.</p>\n<p>3+ years of experience conducting research as part of a research program, in either academic or industry settings, is also preferred. Additionally, 1+ year of experience developing and deploying live production systems, as part of a product team, is desirable.</p>\n<p>Experience with developing graph-based identity models to perform cross-device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs is also preferred.</p>\n<p>#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p>","enriched_at":1777558163893},{"id":"job_fcd955ea-c27","title":"Senior Applied Data Scientist","source_url":"https://microsoft.ai/job/senior-applied-data-scientist/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Microsoft Advertising empowers the world&#39;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact.</p>\n<p>As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities.</p>\n<p>Microsoft&#39;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.</p>\n<p>Responsibilities: Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. Review business requirements and incorporate research to meet business goals. Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.</p>\n<p>Qualifications: Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</p>\n<p>Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.</p>\n<p>#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p>","enriched_at":1777558077875},{"id":"job_fe02fad9-dd0","title":"Senior Software Engineer","source_url":"https://microsoft.ai/job/senior-software-engineer-157/","location":"New York","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Microsoft Advertising empowers the world&#39;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.</p>\n<p><strong>Responsibilities:</strong> Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. Develop and optimize data models to support data analytics. Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making. Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery. Work with a security-first mindset, focusing on system scalability and maintainability. Coach and mentor peers and emerging team members while advocating for best practices.</p>\n<p><strong>Qualifications:</strong> Bachelor&#39;s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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.</p>\n<p><strong>Preferred Qualifications:</strong> Master&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor&#39;s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years experience in business analytics, data science, software development, data modeling or data engineering work. Solid experience with data processing frameworks such as Apache Spark, Hadoop. Expertise in SQL and experience with RDBMS, Key Value stores. Familiarity with cloud platforms and data services. Excellent problem-solving skills and the ability to work independently and as part of a team. Solid communication skills. Familiarity with Azure. Experience with machine learning and data science tools and frameworks. Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</p>\n<p><strong>Benefits:</strong> The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>","enriched_at":1777558037363},{"id":"job_cc269cde-1cc","title":"Senior Database Engineer","source_url":"https://microsoft.ai/job/senior-database-engineer/","location":"Bengaluru","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>As a Business Applications Engineer (IC4) in Database Operations, you will lead initiatives and support our diverse Data Platform consisting of RDBMS, NoSQL, ClickHouse, and Azure database services in a Linux environment.</p>\n<p>This senior role requires architect-level expertise in database design, data modeling, schema optimization, and capacity planning. You will drive automation initiatives, implement Infrastructure as Code, and ensure CI/CD for database deployments.</p>\n<p>You will also partner with product management, stakeholders, and engineering teams to identify and address critical gaps with low-code/no-code solutions. Enhancement of production services by configuring settings utilizing low-code/no-code solutions to meet and exceed stakeholder needs is also part of the role.</p>\n<p>You will lead the development and delivery of training sessions and materials on the capabilities of low-code/no-code solutions and system features and proactively tailor content to meet user needs.</p>\n<p>You are expected to optimize continuous delivery by designing and implementing automated workflows for continuous delivery and monitoring.</p>\n<p>Leading research initiatives on emerging trends and innovations in the low-code/no-code solution industry and to leverage expertise to implement and drive improvements in customer experience, and to mentor others in evaluating technology trends and drive cross-organizational innovation is part of the requirement.</p>\n<p>You should be willing to relocate to Bengaluru and be flexible to work in rotational shifts (24×7).</p>\n<p>Responsibilities:</p>\n<p>Architect and design scalable, secure, and high-performance database solutions Perform advanced data modeling, schema optimization, and capacity planning Lead automation initiatives for operational processes using scripting and Infrastructure as Code Implement CI/CD pipelines for database deployments and upgrades Ensure performance, security, and availability of databases across RDBMS, NoSQL, and ClickHouse Manage Azure database services including Azure SQL Database, Cosmos DB, and Data Explorer Perform upgrades, backups, recovery, and migrations with minimal downtime Troubleshoot and resolve complex database-related incidents within SLA Collaborate with international teams and stakeholders on architecture and design decisions Mentor junior engineers and promote best practices in database operations Prepare and maintain documentation for architecture, SOPs, and operational guidelines Drive compliance with security and regulatory standards Participate in on-call rotation and provide production support for critical systems</p>\n<p>Evaluate new tools, platforms, and updates within the low-code/no-code solution industry and provide recommendations on adopting new solutions that improve efficiency, scalability, and functionality of the development process.</p>\n<p>Design application solutions by using advanced configurations established in low-code/no-code platforms (e.g., Power Automate) to create customized and scalable solutions that address business requirements Partner with stakeholders to synthesize and integrate comprehensive understanding of business objectives into program requirements and technical specifications.</p>","enriched_at":1777119157097},{"id":"job_a0589f8d-d17","title":"Senior Data Scientist","source_url":"https://microsoft.ai/job/senior-data-scientist-microsoft-advertising-2/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<h3>Summary</h3>\n<p>Microsoft Advertising are looking for a talented Senior Data Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising digital advertising technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the online marketplace.</p>\n<h3>About the Role</h3>\n<p>We are inviting you to join the Microsoft Advertising Data Science Team. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical &amp; 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 Senior Data Scientist who is 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.</p>\n<h3>Accountabilities</h3>\n<ul>\n<li>Conduct in-depth market research across online advertising sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Develop and maintain complex data models and algorithms to drive business insights and decision-making</li>\n</ul>\n<h3>The Candidate we&#39;re looking for</h3>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>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)</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Committed organizational, analytical, data science skills</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Professional development opportunities</li>\n<li>Flexible work arrangements</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>","enriched_at":1772782170251},{"id":"job_fd85c6cb-0c6","title":"Senior Data Scientist","source_url":"https://microsoft.ai/job/senior-data-scientist-microsoft-advertising/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<h3>Summary</h3>\n<p>Microsoft Advertising are looking for a talented Senior Data Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the advertising technology industry. You&#39;ll work directly with leadership to shape the company&#39;s direction in the digital marketing space.</p>\n<h3>About the Role</h3>\n<p>We are inviting you to join the Microsoft Advertising Data Science Team. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. As a Senior Data Scientist, 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.</p>\n<h3>Accountabilities</h3>\n<ul>\n<li>Conduct in-depth market research across digital marketing sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Develop and maintain complex data models and algorithms to drive business insights and decision-making</li>\n</ul>\n<h3>The Candidate we&#39;re looking for</h3>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>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)</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Committed organizational, analytical, data science skills</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>","enriched_at":1772782132570}],"category_normalised":[{"category":"engineering","count":7}],"velocity":{"weeks":[{"week_start":"2026-03-02","count":2},{"week_start":"2026-04-20","count":1},{"week_start":"2026-04-27","count":4}],"trend":"stable","wow_pct":300},"momentum":{"recent_14d":5,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":177250,"industry_median":null,"percentile":null,"sample_size":4,"by_region":[{"region":"United States","company_median":177250,"industry_median":null,"sample":4}],"transparency_pct":57,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":7,"industry_total":7,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.453,"skill_weighted_score":0.452,"top_exposed_titles":[{"title":"Senior Applied Data Scientist","count":3,"score":0.46},{"title":"Senior Data Scientist","count":2,"score":0.461}],"top_exposed_skills":[{"skill":"Statistics","count":5,"score":0.461},{"skill":"Data Analysis","count":4,"score":0.461},{"skill":"Econometrics","count":3,"score":0.46},{"skill":"Computer Science","count":3,"score":0.46},{"skill":"Electrical Or Computer Engineering","count":3,"score":0.46},{"skill":"Advanced Analytics","count":3,"score":0.46},{"skill":"Predictive Models","count":3,"score":0.46},{"skill":"Deterministic And Probabilistic Matching Algorithms","count":3,"score":0.46},{"skill":"Data Science","count":6,"score":0.432},{"skill":"Machine Learning","count":6,"score":0.432}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":6,"share_pct":85.7},{"region":"India","count":1,"share_pct":14.3}],"emerging":[{"region":"United States","recent_30d":4,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":88}}}}