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Job Details
Posted date: Aug 02, 2024
There have been 58 jobs posted with the title of Senior Data Scientist all time at Microsoft.Category: Research, Applied, & Data Sciences
Location: Redmond, WA
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
As a Senior Data Scientist with the Fraud detection team, you will work on building machine learning models to detect complex fraud attacks which are constantly evolving.This role is available in Redmond, WA or Mountain View, CA.
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.
The Ads Fraud Detection works at the confluence of Security and Machine Learning (ML). 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.
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 and Values
Qualifications
Required Qualifications:Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniquesOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniquesOR equivalent experience.1+ year(s) of experience with any of the following areasstatistical machine learning ORanomaly detection OR fraud & risk ORdeep learning ORdata mining ORcausal inference. 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:
Research experience (publications) in the following areas is preferred: fraud detection anomaly detection statistical machine learning deep learningdata miningcausal inference.2+ years of experience in any of the following areas:statistical machine learning ORanomaly detection ORfraud & risk ORdeep learning ORdata mining ORcausal inference. Proven problem solving and data analysis skills.Proven software design and development skills/experience.
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 19, 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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