Senior Data Scientist, ML (Fintech)

TL;DR

Senior Data Scientist, ML (Fintech): Developing recommendation systems for prediction markets to personalize customer experiences with an accent on scalable feature pipelines and ranking systems. Focus on improving user interaction through experimentation, causal inference, and production-grade ML modeling.

Location: Must be based in Menlo Park, CA or New York, NY (Hybrid: in-person attendance expected at least 3 days per week)

Salary: $146,000 – $220,000 USD (Base pay varies by location zone)

Company

A financial services platform on a mission to democratize finance for all.

What you will do

• Build and optimize recommendation algorithms to personalize user experiences across prediction markets and other product surfaces.
• Partner with product managers to identify personalization opportunities and define measurable success criteria.
• Develop features and models to increase relevance and user interaction with prediction markets offerings.
• Collaborate with software and ML engineers to design and implement scalable feature pipelines and ranking systems.
• Design and execute experiments to evaluate model performance and measure incremental impact on customer engagement.

Requirements

• 5+ years of experience building recommendation systems for customer-facing products.
• Proficiency in Python and SQL.
• Strong experience with machine learning systems and production modeling.
• Expertise in experimentation methods and causal inference to evaluate model performance.
• Must be based in Menlo Park, CA or New York, NY.

Culture & Benefits

• Performance-driven compensation including bonus programs and equity ownership.
• 100% paid health insurance for employees and 90% coverage for dependents.
• 401(k) matching and a flexible lifestyle wallet for wellness and learning.
• Employer-paid life, disability, fertility, and mental health benefits.
• Comprehensive time off including company holidays, paid time off, and parental leave.
• High-end office experience with catered meals and events.