Microsoft Corporation
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Data Scientist
role at
Microsoft . In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting?edge GenAI and ML solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. We are looking for an Applied Scientist II who can deliver 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 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 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 solutions and improve them based on data and customer feedback. Communicate technical findings and insights effectively. 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 production systems. Leverage data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs. Ensure compliance with Microsoft Responsible AI standards throughout the AI system lifecycle. Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications.
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 Masters 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 Bachelors 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. At least 6+ months of experience implementing solutions with LLMs and Generative AI.
Other Qualifications
Microsoft Cloud Background Check: This position requires passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications
1+ year(s) experience creating publications (e.g., patents, peer?reviewed academic papers). Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience. OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience. OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience. OR equivalent experience. Experience in Python, PyTorch, TensorFlow, LangChain, or other machine learning frameworks. Experience delivering AI product features. Masters Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis. OR Bachelors Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis. OR equivalent experience.
Salary and Benefits
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. In the San Francisco Bay Area and New York City metropolitan area, the range is USD $158,400 - $258,000 per year. Microsoft will accept applications for the role until November 7, 2025. EEO Statement
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. #J-18808-Ljbffr
Data Scientist
role at
Microsoft . In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting?edge GenAI and ML solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. We are looking for an Applied Scientist II who can deliver 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 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 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 solutions and improve them based on data and customer feedback. Communicate technical findings and insights effectively. 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 production systems. Leverage data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs. Ensure compliance with Microsoft Responsible AI standards throughout the AI system lifecycle. Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications.
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 Masters 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 Bachelors 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. At least 6+ months of experience implementing solutions with LLMs and Generative AI.
Other Qualifications
Microsoft Cloud Background Check: This position requires passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications
1+ year(s) experience creating publications (e.g., patents, peer?reviewed academic papers). Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience. OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience. OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience. OR equivalent experience. Experience in Python, PyTorch, TensorFlow, LangChain, or other machine learning frameworks. Experience delivering AI product features. Masters Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis. OR Bachelors Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis. OR equivalent experience.
Salary and Benefits
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. In the San Francisco Bay Area and New York City metropolitan area, the range is USD $158,400 - $258,000 per year. Microsoft will accept applications for the role until November 7, 2025. EEO Statement
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. #J-18808-Ljbffr