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Minimum Qualifications
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)
And 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.
Preferred Qualifications
Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
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
Be a self-starter with a demonstrated track record of providing technology vision and driving them through. • Develop Machine Learning models and solutions using classical algorithms as well as foundation models. • Work closely with a variety of teams like partner data science, engineering, and UX teams. • Collaborate with partner teams (both service and data science) to deliver end-to-end systems and experiences. • Design, develop, and deliver high quality software that powers ever increasing demands of availability, reliability, security and performance at large enterprise scale • Convert complex design into solid implementations that scale and perform • Ensure solution delivered adheres to the technological standards established in the organization Dive into individual problem areas and guide the engineering team by making recommendations and best approaches. • Embody our Culture and Values
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