Senior Applied Scientist

Microsoft • Redmond, WA

10h

About The Position

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.
Microsoft’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.

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.
• 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 Haves

• 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.

Responsibilities

• Build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level