Microsoft Security's mission is to make the world a safer place by delivering end-to-end, simplified solutions that protect users, organizations, and developers. The Central Fraud and Abuse Risk (CFAR) team builds innovative, intelligent, and scalable risk solutions that protect Microsoft’s customers and services from abuse and fraud.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- Master's Degree 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 consulting experience.
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 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).
- 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 techniques and reporting results).
- 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 techniques and reporting results) OR equivalent experience.
- Proficiency with cloud platforms such as Azure, and real-time inference systems.
Responsibilities
- You will understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data.
- Explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
- Understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance.
- Analyze model performance and incorporate customer feedback into its evaluation.
- Understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You’ll also write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
- Understand device fingerprinting techniques, analyze the device attributes collected for device fingerprinting, identify anomalous attributes within sessions as well as across sessions.
- Develop techniques to devise a unique device identifier given the device attributes.
Other
- 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience in gaming and e-commerce platform, and familiarity with related fraud vectors, such as refund abuse and market arbitrage.
- Communication and collaboration skills, with the ability to influence across disciplines.
