Microsoft Corporation

The Commerce Risk Applied Science Team, which is part of the greater Commerce Engineering Operations organization is developing a cloud scale service that provides high precision detections for fraud and abuse activities across Microsoft Cloud.. We are seeking a Senior Applied Scientist to help us grow and modernize our data science and detection strategies.. As a Senior Applied Scientist on our team, you will partner with our engineers, other data scientists, and researchers to design, build, and deploy state-of-the-art machine learning to protect Microsoft Cloud.. In your day-to-day work, you will build machine learning pipelines, vet experiments, incorporate quality monitors, and ship successful models to production.. Act as a resident consultant for machine learning, statistics, and experimental design.

applied scientist

Do you have a passion for data and machine learning (ML)? Do you want to apply it to deploy AI solutions that help millions of customers protect their applications from threat actors around the globe? Are you curious, analytical, and motivated by new challenges? If so, we would like to hear from you! The Commerce Risk Applied Science Team, which is part of the greater Commerce Engineering Operations organization is developing a cloud scale service that provides high precision detections for fraud and abuse activities across Microsoft Cloud. This solution is based on state-of-the-art machine learning and other techniques that rely on aggregating large-scale information. The team uses various detection strategies to identify evolving fraud patterns to combat fraud and abuse. We are seeking a Senior Applied Scientist to help us grow and modernize our data science and detection strategies. As a Senior Applied Scientist on our team, you will partner with our engineers, other data scientists, and researchers to design, build, and deploy state-of-the-art machine learning to protect Microsoft Cloud. In your day-to-day work, you will build machine learning pipelines, vet experiments, incorporate quality monitors, and ship successful models to production. You will have the opportunity to collaborate with partners across Microsoft who have decades of security research, and ML experience. Microsoft provides phenomenal community, tools, and technologists to grow your experience in this field. Responsibilities <ul><li>Provide technical leadership to our team by proposing, developing, and deploying ML models in an experimental framework.</li><li>Monitor and analyze data to uncover gaps in signal and coverage</li><li>Work with security threat analysts, engineers, and other ML Scientists to identify performant features and models, and deploy them at scale.</li><li>Act as a resident consultant for machine learning, statistics, and experimental design. </li></ul>Qualifications Required/Minimum Qualifications <ul><li>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)</li><ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>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)</li><li>OR equivalent experience. </li></ul></ul>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. Additional Or Preferred Qualifications <ul><li>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)</li><ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>OR equivalent experience.</li></ul><li>3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li><li>Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li><li>3+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>1+ year(s) experience developing and deploying live production systems, as part of a product team.</li><li>1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. </li></ul>Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

START NEW SEARCH