Senior Data Scientist (ML)

TL;DR

Senior Data Scientist (ML): Developing and optimizing recommendation system algorithms for prediction markets with an accent on personalization, relevance, and user engagement. Focus on designing modeling approaches, running experiments, and collaborating with engineering teams to implement scalable feature pipelines.

Location: Must be based in Menlo Park, CA or New York, NY with in-person attendance at least 3 days per week.

Salary: $187,000–$220,000 USD (Zone 1)

Company

A financial technology company on a mission to democratize finance for all by building innovative investment platforms.

What you will do

• Build and improve recommendation system algorithms to personalize customer experiences across prediction markets.
• Partner with product managers to identify personalization opportunities and define success criteria.
• Develop features and models that improve relevance and user interaction.
• Collaborate with software and machine learning engineers to design scalable feature pipelines and ranking systems.
• Design and run experiments to evaluate model performance and measure incremental impact.

Requirements

• 5+ years of experience building recommendation systems in customer-facing products.
• Proficiency in Python and SQL.
• Strong experience with machine learning systems and production modeling.
• Experience with experimentation methods and causal inference.
• Ability to drive projects from concept through implementation.

Culture & Benefits

• Performance-driven compensation including bonuses and equity ownership.
• 100% paid health insurance for employees and 90% for dependents.
• 401(k) matching program.
• Flexible lifestyle wallet for wellness and learning.
• Comprehensive time off including paid holidays, sick leave, and parental leave.