Data Science Lead, Product Optimization

1 month ago

New York, New York, United States Robinhood Full time

About the Role

We are seeking a highly skilled Senior Data Scientist to join our Product Analytics team at Robinhood. As a key member of our team, you will play a critical role in optimizing and enhancing our product's performance by harnessing data and analytics to drive informed decision-making and innovations.

Key Responsibilities

  • Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business.
  • Develop and maintain machine learning models and statistical models to enhance the product's performance and user experience.
  • Design, plan, execute and analyze experiments to evaluate the impact of product changes. Develop experiment design and experiment analysis frameworks.
  • Define metrics system to measure product performance. Build dashboards and reports to understand and monitor these metrics. Iteratively improve the metrics and the dashboard system.
  • Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives.
  • 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

Requirements

  • 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
  • Solid understanding of statistics. Practical experience in AB testing and causal inference
  • Solid understanding of ML algorithms. Practical experience in applying ML to uncover valuable insights, to improve user experience and product performance
  • 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

What We Offer

  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

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