Data Scientist, Product

Rozgoo; Menlo Park (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity ownership

401(k) matching

Health insurance

Lifestyle wallet

Job summary

Robinhood is seeking a Senior Data Scientist to drive product growth through advanced analytics and world-class experimentation. You will collaborate with product, engineering, research, design, marketing, finance, and operations to shape data-informed strategies for our brokerage business.

The role emphasizes leading initiatives, delivering measurable impact, and communicating insights to senior leaders. Based in our New York office, in-person presence is expected several days a week.

Qualifications

• PhD or master's degree in a quantitative field and 6–10 years of experience developing and deploying predictive models.
• Strong programming in Python and SQL, with good data visualization skills.
• Proven expertise in data science, statistics, and machine learning.

Responsibilities

• Perform deep-dive analyses to identify product growth opportunities and improve core metrics.
• Design, implement, and analyze A/B experiments and causal inference analyses.
• Define and maintain key product metrics; build dashboards to monitor metrics and inform decisions.
• Create compelling data visualizations and narratives for cross-functional leadership.
• Lead large-scale analytics projects to uncover insights and drive business impact.
• Partner with Product, Engineering, Operations to embed data-driven decision making.

Skills

Data science

Python & SQL

Data visualization

Machine learning

Education

PhD or MSc in quantitative field

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.

As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers.

We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.

This role is based in ourNew York office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
• Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
• Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.
• Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.
• Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
• Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.
• Assist with established methods, standard approaches, and promote a data-informed culture within the organization.

What you bring

• Proven expertise in data science, with a strong background in statistical analysis and machine learning.
• Outstanding problem-solving skills and the ability to think critically and creatively.
• Strong programming skills in Python & SQL, or other relevant languages.
• Experience with data visualization tools and techniques.
• Ability to successfully implement projects and compete in a fast-paced environment.
• PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending acc