Data Scientist Analytics, Platform – Customer Care

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.

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.

About the team + role

The Customer Care product team builds product experiences that help our customers become successful with Robinhood. Insights from data power most decisions at Robinhood. This Product Data Scientist role at Robinhood will work with partners in product, marketing, engineering, finance, design, and compliance to understand and analyze data from all parts of our business to power how our product works and feels. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team.

What you’ll do

  • Developing and sharing insights around the key metrics that drive the company and your particular product
  • Working with partners to identify the key metrics their product should track and developing and sharing analysis, guidance, reports, and dashboards to successfully 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 others as needed to democratize the use of data within the company

What you bring

  • Minimum 3+ years of experience working in product analytics or product data science
  • BA/BS/MS degree in a quantitative field such as mathematics, economics, statistics, engineering or natural sciences (or equivalent research experience)
  • Strong level of SQL skills
  • Familiarity with programming skills, either Python (numpy, scipy, pandas) or R programming languages
  • Experience with Tableau, Looker, and/or any visualization tools
  • Solid understanding of statistical analysis and experimentation
  • Experience communicating data driven insights and the ability to use data to inform, persuade, and lead

Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.

Click here 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 Robinhood’s Privacy Policy please review the specific policy applicable to the country where you are applying.

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