Senior Data Scientist, Growth
Menlo Park, CA
Applications have closed
Robinhood
Trade 25+ crypto at the lowest cost on average in the EU. Sign up today and get a reward of up to 1 BTC.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.
Just as we focus on our customers, we also strive to create an inclusive environment where our employees can thrive and do impactful work. We are proud of the competitive products and company culture we’ve built and have been recognized as:
- Forbes Fintech 50 2021
- Glassdoor Best Places to Work 2021
- Inc. Best-Led Companies 2021
- TIME 100 Most Influential Company 2021
We’re growing and looking for...
We continue to hire Robinhoodies at a rapid pace to drive this journey, and with that growth comes necessary change. We’re seeking culture builders and curious thinkers looking to co-author the next chapters of our story. We’re in build mode, majorly expanding our team while also growing up as a company. Joining now means helping shape our structures and systems, then taking part as we launch into our ambitious future.
Check out life at Robinhood on The Muse!
About the team:
Insights from data power most decisions at Robinhood. As a member of the growth team, you will work on statistics, machine learning and experimentations in order to accurately quantify effectiveness across our growth levers (ie paid marketing, referral and content) as well as drive efficiency in acquiring customers and generating both user and financial growth. In this role, you will be responsible for developing meaningful analytical solutions and product-ionizing scalable models to inform decisions and boost user and revenue growth.
What you’ll do day-to-day:
- Build production grade models on large-scale dataset to measure effectiveness across growth levers by using statistical modeling, machine learning and analytics techniques.
- Leverage models and experimentations to scientifically quantify incremental changes from marketing, referral and content efforts and answer key growth challenges such as spend optimization, user segmentation and targeting, creative optimization and content recommendation.
- Collaborate with the rest of the data team and partner marketing, product, content, design teams to build data solutions and products to drive user and revenue growth.
- Work with multi-functional teams to implement insights and analytical solutions to empower data-driven decision making.
About you:
- Masters or PhD in a quantitative field such as mathematics, statistics and engineering.
- 5+ years of experience as a data scientist focusing on building data solutions and/or machine learning products.
- Experience with machine learning techniques and sophisticated analytics (e.g. regression, classification, time series, econometrics, causal inference, mathematical optimization).
- Advanced SQL skills - comfortable working with very large data sets.
- Proficiency in Python or R.
- Great communication skills and ability to democratize data through meaningful insights and solutions.
Bonus points:
- Passion for working and learning in a fast-growing company.
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 promotes diversity 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 Robinhood's Privacy Policy please visit rbnhd.co/applicant-privacy.
Robinhood's benefits include generous time off, 401(k) participation with employer match, comprehensive health coverage, a health savings account (HSA), wellness benefits, backup childcare and education stipends (all benefits are subject to applicable taxes and based on eligibility).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Causal inference Classification Econometrics Engineering Finance FinTech Machine Learning Mathematics PhD Python R SQL Statistical modeling Statistics
Perks/benefits: 401(k) matching Career development Health care Wellness
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