Data Scientist

Microsoft - United States

Hiring: Data Scientist Company: Microsoft Location: United States Job Posted Time: 2026-09-16 13:00:13 Target Skills & Keywords : Fine-tuning, LLM, Machine Learning About the job Experience: •1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience •2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) •1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) •3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) •5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Required Skills: •Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements. •Partner cross-functionally with stakeholders to define business problems and translate them into actionable AI-driven solutions. •Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles. •Identify opportunities to leverage generative AI for business transformation and innovation. •Acquire, clean, and prepare large datasets for modeling. •Build and deploy predictive and prescriptive models using modern machine learning techniques. •Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions. •Write efficient, maintainable code and ensure scalability for production environments. 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) •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) •Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. •This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Compensation: •$102,100 - $202,200 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!