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Job Details
Posted date: Aug 14, 2024
Category: Research, Applied, & Data Sciences
Location: Multiple Locations, Multiple Locations
Estimated salary: $183,700
Range: $117,200 - $250,200
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
The Ads Fraud Detection works at the confluence of Security and ML(MAchine Learning). We build machine learning models for identifying and filtering fraudulent web traffic.We protect advertiser ROI and strengthen the integrity of the ads ecosystem.Our algorithms need to run in real time at web scale. We continuously strive to operate in a high precision/high recall space to best serve advertisers, publishers & end users.
This role is available in Redmond, WA or Mountain View, CA.
As a Senior Applied Scientist(Fraud Detection) with the Fraud detection team, you will work on building machine learning models to detect complex fraud attacks which are constantly evolving. You will work on all aspects of fraud detection - anomaly detection to find traces of new attacks, correlation of multiple data sources to define the perimeter of fraud attacks, development of new machine learning models and pipelines to catch attacks before they can impact the advertising eco-system while respecting user privacy.
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.
Design and build efficient fraud detection machine learning and statistical models for different ad implementations that run at web-scale. Define and analyze recent fraud attacks with a goal to abstract out directional trends and build anomaly detection models to anticipate new and upcoming attacks. Create threat models for new ad scenarios, and design mitigation strategies. Analyze and incorporate additional signals that continuously improve fraud detection. Create tools and techniques that allow us to scale to increasingly complex landscape of advertising scenarios. Embody our Culture & Values
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+ years 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.3+ year(s) of experience in at least two of the following areas: statistical machine learning, anomaly detection, fraud & risk, deep learning, data mining.1+ year of experience in applying Machine Learning (ML) in security space.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:
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+ years related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers) in top tier ML conferences (Special Interest Group in Knowledge Discovery and Data Mining (SigKDD), International Conference on Machine Learning (ICML), ACM International Conference on Information and Knowledge Management (CIKM),Neural Information Processing Systems Datasets and Benchmarks (NeurIPS), International World Wide Web Conference (WWW)).Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 will accept applications for the role until August 28, 2024
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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