The Windows Defender Advanced Threat Protection team (WDATP) is looking for an experienced Applied ML Data Scientist to join our <India Research Lab>. The WDATP team is committed to helping Microsoft customers keep their devices secure against malicious attacks and cybercrime. By continuously gathering and analyzing data, and by working with organizations inside and outside Microsoft, the WDATP stays agile to combat evolving threats. Our mission is to help protect customers and systems with industry-leading proactive protection, advise customers, and engage in valuable partnerships.
As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our protection systems to predict and block cybersecurity threats on mobile devices. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide protection for hundreds of millions of Microsoft customers.
At Microsoft, you’ll have access to vast amounts of threat-related data from billions of endpoints and other sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering – you get to do the fun stuff.) Microsoft also has many partner teams that have decades of ML expertise and we also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at Microsoft, and on the WDATP team, you'll be able to apply that expertise to protecting customers, such as consumers like your friends and family to enterprises that have critical assets that need advanced threat protection from targeted attacks.
Monitor and analyze data to uncover protection gaps
Develop high-performance algorithms, machine learning models, or other methodologies to close protection gaps.
Identify performant features and models and make them universally accessible to our team and partners across Microsoft.
Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.
Act as a resident expert for machine learning, statistics, and experiment design.
6+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets.
Proficiency in R, Azure ML, Python, or other statistics/ML tools.
Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
Outstanding communication and collaboration skills. You can learn from and teach others.
Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services.
Experience with prediction in adversarial (threat) environments highly desirable.
Understanding of the mobile app ecosystem across platforms, including development, distribution, and best practices, highly desirable.
A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.