Overview

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.

• 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.

Qualifications:

Required Qualifications:

• 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.

Other Requirements:

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.

Preferred Qualifications:

• 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, Map Reduce and/or similar systems.
• Familiarity with deep learning toolkits, e.g. CNTK, Tensor Flow.

#DPG #DPGHiring

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.