Senior Data Scientist

1 week ago

Menlo Park, United States Robinhood Full time

Join a leading fintech company that’s democratizing finance for all.

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

As we continue to build...

We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.


Insights from data power many decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by this exceptional data science team. As a senior product data scientist, you will play a critical role in optimizing and enhancing the product’s performance by harnessing data and analytics to drive informed decision-making and innovations.
The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our businessDesign, plan, execute and analyze experiments to evaluate the impact of product changesDefine metrics system to measure product performanceCreate data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executivesIteratively improve the metrics and the dashboard systemDesign, develop and maintain data pipelines with outstanding craftsmanshipMentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the companyLeverage expertise in data science and passion for product development to shape the product and business strategy at RobinhoodWork with Senior executives and Product leaders and drive meaningful discussions keeping in center data driven insights What you bring Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc5+ years of demonstrated experience working in product analytics or data scienceTrack record of initiating, and executing large / complex deep dive projectsTrack record of developing data insights that generates business impactExpert level SQL, Python skillsExcellent data visualization skills and data storytelling skillsExperience in product data science in a dynamic, innovative, and fast-paced high tech environmentSolid understanding of statisticsPractical experience in AB testing and causal inferenceStrong understanding of ML algorithms

Click to learn more about Robinhood’s Benefits.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review please review the specific policy applicable to the country where you are applying.

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