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The IDEAS team (Insights, Data, Employee Experience, Agents, and Science) is one of the largest data science organizations at Microsoft. We play a critical role in providing data and analytics for M365 and own the end‑to‑end machine learning and decision sciences charter. As a Senior Applied Scientist on the IDEAS team, you will work at the intersection of data, insights, machine learning, and AI—turning complex data into actionable insights that drive key business decisions across the M365 organization. In this role, you will bring together data from multiple sources to create a single version of truth and perform opportunity analysis and hypothesis generation across the end‑to‑end customer lifecycle. You will design, prototype, implement, and test descriptive and predictive analytics, forecasting, and causal inference models while collaborating closely with cross‑functional partners.
Identify and explore opportunities for applying machine learning, AI, and predictive analytics by partnering with teams across product, marketing, sales, and engineering
Work with engineers to architect and develop operational models that run at scale
Communicate with technical and non-technical audiences, and contribute with your modeling experience as a team player
Tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results
Requirements:
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+ year(s) 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
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
Nice to have:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 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+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years of experience with SQL, Python implementing statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment
3+ years with experience in synthesizing insights and presenting complex ML model recommendations to technical and non-technical audiences
3+ year of experience in the ability to structure unscoped problems, define success metrics, and drive execution under uncertainty
Experience with large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems
Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow