R
AI

Data Scientist Lifecycle Marketing

Robinhood · Toronto, ON · $95k - $103k

Actively hiring Posted almost 2 years ago

Role overview

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.

<h2><strong>About the team + role </strong></h2>

Insights from data power most decisions at Robinhood. In a Data Scientist-Analytics role at Robinhood, you 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.

What you’ll do

  • Develop and share insights around our customers at all stages of their lifecycle
  • Analyze and test engagement and retention strategies, improving our communications efficiency, and growing our measurement capabilities
  • Design and implement randomized controlled experiments to systematically test and measure the impact of various lifecycle marketing initiatives, ensuring statistical significance and actionable outcomes
  • Work 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
  • Power quick decisions by answering business questions by querying our vast datasets

What you bring

  • Experience working in digital marketing analytics
  • Bachelors Degree in behavioral science (economics, psychology, etc) with strong statistical chops or in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior
  • 2+ years of experience in data analysis with a focus on marketing analytics
  • Excellent programming skills, including skills with either Python (numpy, scipy, pandas) or R programming languages
  • Expert level SQL skills
  • Strong understanding of statistical analysis
  • Experience in experiment design
  • Experience communicating data driven insights
  • The ability to use data to advise, 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.

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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 your country.

Tags & focus areas

Used for matching and alerts on DevFound
Scientist Data Science Marketing Non Tech Python R Pandas Numpy