Senior Data Scientist (Fintech)

TL;DR

Senior Data Scientist (Product): Designing and executing A/B experiments and deep-dive analyses to optimize brokerage products with an accent on causal inference and predictive modeling. Focus on driving product growth through data-informed strategy and scalable analytics, improving the trading experience for millions of users.

Location: Must be based in Menlo Park, CA or willing to commute to the office at least 3 days per week.

Salary: $139,000–$210,000 USD (Base pay range depending on location)

Company

A mission-driven fintech platform democratizing finance and building the future of wealth management.

What you will do

• Perform deep-dive analyses to identify growth opportunities and improve core business metrics.
• Design, plan, and analyze A/B experiments and causal inference studies.
• Define and maintain product performance metrics and build scalable dashboards.
• Create data visualizations and narratives for senior leadership and multi-functional partners.
• Lead large-scale analytics projects to inform product strategy.
• Integrate data-driven decision-making across Product, Engineering, and Operations teams.

Requirements

• Master’s or PhD in a quantitative field (mathematics, statistics, engineering, or natural sciences).
• 6-10 years of experience in developing and deploying predictive models.
• Strong programming proficiency in Python and SQL.
• Expertise in statistical analysis and machine learning.
• Proven ability to solve complex problems in a fast-paced environment.
• Experience with data visualization tools and effective stakeholder communication.

Culture & Benefits

• Performance-driven compensation including bonus opportunities and equity.
• 100% paid health insurance for employees with 90% coverage for dependents.
• 401(k) matching and employer-paid life and disability insurance.
• Flexible benefits spending account for wellness and learning.
• Comprehensive leave policies including parental leave and company holidays.
• Modern office environment with catered meals and team events.