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Robinhood
Senior Data Scientist Analytics Crypto
2 months ago | 268 views | 2 applications

Senior Data Scientist Analytics Crypto

Full-time
Menlo Park
Per year
$116,000 To $190,000

About the company

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.

Job Summary

What you’ll do

📍Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business 📍Design, plan, execute and analyze experiments to evaluate the impact of product changes 📍Define metrics system to measure product performance 📍Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives 📍Iteratively improve the metrics and the dashboard system 📍Design, develop and maintain data pipelines with outstanding craftsmanship 📍Mentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the company 📍Leverage expertise in data science and passion for product development to shape the product and business strategy for Crypto at Robinhood 📍Work with Senior executives and Product leaders and drive meaningful discussions keeping in center data driven insights

What you bring

📍Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc 📍5+ years of demonstrated experience working in product analytics or data science 📍Track record of initiating, and executing large / complex deep dive projects 📍Track record of developing data insights that generates business impact 📍Expert level SQL, Python skills 📍Excellent data visualization skills and data storytelling skills 📍Experience in product data science in a dynamic, innovative, and fast-paced high tech environment 📍Solid understanding of statistics 📍Practical experience in AB testing and causal inference 📍Strong understanding of ML algorithms

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