Robinhood · 2 days ago

Senior Data Scientist, Analytics

Menlo Park, CA

Full-time

Onsite

Senior Level

$162K/yr - $190K/yr

5+ years exp

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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

Qualification

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MathematicsEconomicsStatisticsComputer ScienceProduct AnalyticsData ScienceProject ManagementData InsightsAB TestingCausal InferenceMachine Learning AlgorithmsData VisualizationData StorytellingSQLPythonProduct Data Science

Required

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