What you'll do:
- Conduct research in our emerging product capabilities to identify fraud in new product lines and work together with product and engineering teams to launch features that give our customers additional insight into their traffic.
- Devise techniques that leverage the signals we collect from ad interactions to produce robust automated fraud detection techniques, using meticulous experimentation to find techniques that are difficult for bad actors to adapt around.
- Support experiments on prospects and new clients that demonstrate the value of our emerging products by highlighting anomalies consistent with fraud and conflicting with standard programmatic advertising behaviors.
- Be an active participant in team responsibilities, including reviewing other data scientists’ work prior to launching new detection rules/algorithms, our ‘sheriffing’ process where we proactively monitor anomalies arising in our systems and taking part in ‘tech-debt days’ to keep our codebase clean and healthy.
- Contribute to our growing DS toolsets, that ‘creating tau’ (disproportionate leverage) by accelerating our team’s ability to find fraud, automating cumbersome tasks, and creating novel methodologies. by empowering the other humans around you.
Who you are:
- You have experience solving large-scale, data-intensive problems in production systems (we process trillions of events per day, so literacy with large datasets is a must!).
- You can explain the nuances of different statistical modeling approaches and make informed decisions on which to use, whilst also having the engineering awareness of the realities of shipping working code to customers.
- You are proficient with Python and SQL and familiar with related tools, libraries and platforms (e.g. Jupyter, Pandas, NumPy etc).
- You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you hold yourself accountable for the quality and accuracy of your work
- You have experience working on cross-functional projects, with multiple stakeholders
- Previous background in AdTech strongly preferred, however we encourage you to apply even if your background is in a different industry
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