What You'll Do
- Translate raw data into meaningful insights and productionalized data products
- Build and maintain scalable, interpretable user prediction models that drive product value
- Build and own user content recommendation models that drive user engagement
- Develop and maintain risk models that drive product safety and business value
- Collaborate with Engineering, Analytics, Data Engineering, Product, and Operations teams to refine models and drive value
- Stay current on AI and emerging technologies to guide modeling & engineering best-practices
What We're Looking For
- 3+ years experience in data science/modeling ideally in predictive modeling or recommender systems
- Advanced Python and SQL skills
- Experience with big data
- Ideally experience with financial/transaction data or familiarity with brand data
- Familiarity with Snowflake or similar data warehouse tools
- Bias for action and comfort working with ambiguity
- Ability to thrive in a fast-moving, collaborative, mission-driven team
- Clear communicator who brings clarity, not complexity
- Scrappy, resilient, and energized by building things that work in the real world at scale
- Preference for candidates located in New York
Top Skills
What We Do
Prizeout is a performance-based ad-tech company that offers payments, rewards, and loyalty solutions. Our platform is used by partners across 11 different industries (including banking, credit unions, marketplaces, gig, and gaming) to give customers more more purchasing power, faster access to funds, and the ability to choose deals they love.
Why Work With Us
We are a small, collaborative team looking for like minded individuals eager to dive right in from day-one. At Prizeout, you will be able to make an immediate impact at an early-stage start-up with the unique opportunity to grow with us by joining at an exciting time.
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