Senior Data Scientist- Growth

Job Description

About the company

Robinhood is democratizing finance for all. With customers at the heart of our decisions, Robinhood is lowering barriers, removing fees, and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

Robinhood is a fast-growing company and was recognized as a CNBC Disruptor 50 and a LinkedIn Top Startup in 2019. We’re continuing to grow and are looking for incredible talent that can help us achieve our mission.

Robinhood is headquartered in Menlo Park, California, with offices in Lake Mary, Florida, and London, UK.

About the role

Insights from data power most decisions at Robinhood. As a member of the growth team, you will be able to leverage statistics, machine learning and experimentations to help accurately quantify effectiveness across our growth levers (paid marketing, referral and content etc.) and drive efficiency in acquiring customers and generating revenue growth. In this role, you will be responsible for developing actionable analytical solutions and productionizing scalable models to inform decisions and boost user and revenue growth.

Your day-to-day will involve:

• Build production grade models on large-scale dataset to measure effectiveness across growth levers by leveraging statistical modeling, machine learning and data mining techniques.
• Leverage models and experimentations to scientifically quantify incrementality from marketing, referral and content efforts and answer key growth challenges such as spend optimization, user segmentation and targeting, creative optimization and content recommendation.
• Collaborate with the rest of the data team and partner marketing, product, content, design teams to build data solutions and products to drive user and revenue growth.
• Work with cross-functional teams to implement insights and analytical solutions to empower data-driven decision making.

Some things we consider critical for this role:

• Masters or PhD in a quantitative field such as mathematics, statistics and engineering.
• 4+ years of experience as a data scientist focusing on building data solutions and/or machine learning products.
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, time series, econometrics, causal inference, mathematical optimization).
• Advanced SQL skills - comfortable working with very large data sets.
• Proficiency in Python or R.
• Great communication skills and ability to democratize data through actionable insights and solutions.

Bonus points:

• Passion for working and learning in a fast-growing company

Feeling ready to give 100% to democratizing our financial system? 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, not just those who simply check off all the boxes.