Senior Data Scientist
Menlo Park, CA or New York City, NY
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. Data Scientists work with other data scientists and engineers to collect, organize, and analyze data from all parts of our business to power these decisions.
Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools, and analytics powered by our team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows.
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:
- Combining knowledge of several research domains to help power decisions at Robinhood
- Designing new machine learning systems to power the analytics efforts at Robinhood
- Improving the statistical methodology backing our experimentation platform
- Building statistical models to predict user behavior and risks to the business
- Adapting machine learning algorithms to solve problems across several teams, such as product, operations, customer support, compliance, and security
About you:
- Graduate degree in a quantitative field such as mathematics, statistics, engineering or natural sciences (or equivalent research experience)
- Solid understanding of statistical analysis and machine learning algorithms
- Advanced SQL skills - comfortable working with very large data sets
- Excellent programming skills, including expert level familiarity with either Python or R programming languages
- At least 5 years experience of working in a research setting in academic or commercial setting
Bonus points:
- Passion for working and learning in a fast-growing company
CO Residents: In Colorado, the base pay for this position ranges from $146000 - $194000.
NYC Residents: In NYC, the base pay for this position ranges from $187000 - $220000.
This role is also eligible for an annual discretionary bonus and participation in Robinhood’s equity plan.
This role is US region-based, with preference for proximity to Robinhood offices in Menlo Park, CA or New York, NY; however, you may elect to work from your home office or the Robinhood office.
Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. Please note, some of our roles are open to additional levels which would impact the expected base pay.
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: Engineering Finance FinTech Machine Learning Mathematics Privacy Python R Research Security SQL Statistics
Perks/benefits: Career development Salary bonus
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