Senior Data Scientist - Analytics
Menlo Park, CA or New York City or Seattle, WA
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.
As we continue to build...
We’re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures and systems; playing a key-role 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. This Data Scientist-Analytics role at Robinhood will work with partners in marketing, product, engineering, finance, design, and compliance to understand and analyze data from all parts of our business to drive our Lifecycle Marketing strategy.
The preferred location for this position is in or around Robinhood's offices in Menlo Park, CA or New York, NY with in-office work capabilities, as may be required by management.
What you’ll do day-to-day:
- Developing and sharing insights around our customers at all stages of their lifecycle
- Analyzing and testing engagement and retention strategies, improving our communications efficiency, and growing our measurement capabilities
- Working with partners to identify the metrics their product should track and developing and sharing analysis, guidance, reports, and dashboards to optimally track and move these metrics
- Powering quick decisions by answering business questions by querying our vast datasets
- Actively suggesting changes to help our customers and business based on a deep understanding of how people engage in our app.
- Adapting quantitative techniques to solve problems surfaced by multiple perspectives
- Mentoring as needed to democratize the use of data within the company
About you:
- Experience working in digital marketing analytics
- Bachelors in behavioral science (economics, psychology, etc) with strong statistical chops or a bachelors in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior
- Excellent programming skills, including expert level skills with either Python (numpy, scipy, pandas) or R programming languages
- Expert level SQL skills
- Solid understanding of statistical analysis
- Experience communicating data driven insights
- The ability to use data to advise, persuade, and lead
- Bonus points:
- Passion for working and learning in a fast-growing company
- Strong customer empathy
derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.
Bonus points:
- Passion for working and learning in a fast-growing company.
The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.
US Zone 1: $187000 - $220000
US Zone 2: $165000 - $194000
US Zone 3: $146000 - $172000
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Office locations (by comp zone)
US Zone 1: Menlo Park, NYC, Seattle, Washington DC
US Zone 2: Denver, Westlake (Dallas), Chicago
US Zone 3: Lake Mary
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 Robinhood - US Applicant Privacy Policy.
Click here to learn more about Robinhood’s Benefits.
Tags: Economics Engineering Finance FinTech Machine Learning Mathematics NumPy Pandas Privacy Python R SciPy SQL Statistics Testing
Perks/benefits: Career development Equity Salary bonus
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