Data Scientist - Enterprise

What you'll do:

• Partner with Product, Engineering, and Analysts to support our business goals in improving bot detection, building out competitive product features, and optimizing our data and ML infrastructure
• Research and experiment with the latest detection frameworks in cyber security and fraud, statistical techniques, and ML tooling
• Support the growth of best practices and Data Science standards in detection and modeling
• 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.  You are fluent in Object Oriented development and have strong debugging skills.
• 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 - both technical and non-technical; and following SDLC best practices: project management, version control, unit testing, and CI/CD