Finance & Strategy Data Science Lead

Robinhood; Edison (CA); On-site; USD 202,000 - 238,000; Full time

Benefits offered by this job

Health insurance

Lifestyle wallet

Fertility benefits

Mental health support

Paid time off

Commuter benefits

Job summary

Robinhood seeks a Data Science Manager for Finance & Strategy, leading a high-performing team of data scientists and analytics engineers. You will oversee strategic analytics, measurement and benchmarking, and scalable AI solutions to inform fast, data-driven decisions.

You will partner with Finance, Product, Engineering, and Operations to translate complex business questions into actionable insights, ensuring trust and impact across Robinhood’s analytics stack and decision-making processes.

Qualifications

• 7+ years of experience in data science, analytics, or related fields.
• 2+ years of people management experience.
• Strong technical expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics.
• Proven ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions.
• Experience developing measurement frameworks, predictive models, benchmarking, and other analytical approaches that inform business and strategic decisions.
• Strong business judgment with a track record of partnering with Finance, Product, Engineering, Operations, and senior leadership.
• Excellent communication skills, with the ability to simplify complex analyses, influence decisions, and build alignment across teams.
• Experience building and developing high-performing teams of data scientists and analytics engineers.

Responsibilities

• Lead, mentor, and develop a high-performing team of data scientists and analytics engineers; operate as a player-coach who stays hands-on in the code and ships real work alongside the team.
• Foster a culture of technical excellence, strong business judgment, experimentation, and clear accountability across the team.
• Lead Robinhood's NPS program end to end: survey design, sampling and weighting, key driver analysis, verbatim analysis, and executive reporting.
• Oversee the broader survey and research portfolio, including safety perception, brand/product sentiment, benchmarking, and trend tracking.
• Make agentic workflows the default operating model. Build durable shared infrastructure so the team can delegate analysis, pipelines, QA, and recurring reporting to agents.
• Drive both sides of the analytics stack: rigorous data science (measurement, experimentation, modeling) and the analytics engineering foundation (pipelines, tooling, data models).
• Partner closely with Finance, Product, Engineering, Operations, and other cross-functional teams to translate complex business questions into scalable, trustworthy analytics.
• Represent Finance & Strategy Data Science in leadership forums and help shape how Robinhood leverages data and AI for strategic decision-making.

Skills

SQL

Python

Statistical analysis

Experimentation

Advanced analytics

People management

Job description

Robinhood seeks a Data Science Manager for Finance & Strategy, leading a high-performing team of data scientists and analytics engineers. You will oversee strategic analytics, measurement and benchmarking, and scalable AI solutions to inform fast, data-driven decisions.

You will partner with Finance, Product, Engineering, and Operations to translate complex business questions into actionable insights, ensuring trust and impact across Robinhood’s analytics stack and decision-making processes.