Data Scientist (New Grad)

Menlo Park, CA

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Robinhood

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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 continue to build and have been recognized as:

  • Glassdoor Best Places to Work 2020
  • TIME100 Most Influential Companies 2021
  • Fortune Best Workplaces in Financial Services & Insurance™ 2021 and Fortune Best Workplaces for Millennials™ 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!

PLEASE NOTE:

THIS IS A FULL-TIME POSITION.

THIS POSITION IS FOR POSTGRADUATE CANDIDATES ONLY. MASTER'S OR PHD LEVEL CANDIDATES WHO ARE GRADUATING IN DECEMBER 2021 OR SPRING 2022.

About the team:

Insights from data power most decisions at Robinhood. A Data Scientist at Robinhood works with other data scientists and engineers to collect, organize, and analyze data from all parts of Robinhood's 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 exceptional 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.

What you’ll do day-to-day:

  • Combine knowledge of several research domains to help power decisions at Robinhood.
  • Design new machine learning systems to power the analytics efforts at Robinhood.
  • Improve the statistical methodology backing our experimentation platform.
  • Build statistical models to predict user behavior and risks to the business.
  • Adapt machine learning algorithms to solve problems across several teams, such as product, operations, customer support, compliance, and security.

About you:

  • Pursuing a graduate degree (Master's or PhD) in a quantitative field such as mathematics, statistics, engineering or natural sciences (or equivalent research experience) with an expected graduation date in December 2021 or spring 2022
  • Solid understanding of statistical analysis and machine learning algorithms
  • Excellent programming skills, including familiarity with either Python or R programming languages
  • 1 year of experience of working in a research setting in an academic or commercial setting

Technologies we use:

  • Python
  • R
  • Spark
  • Jupyter

 

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 salary survey at salaries.ai-jobs.net

Tags: Engineering Finance FinTech Jupyter Machine Learning PhD Python R Research Security Spark Statistics

Perks/benefits: 401(k) matching Career development Health care Wellness

Region: North America
Country: United States
Job stats:  51  25  0
Category: Data Science Jobs

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