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Robinhood · 3 months ago

Senior Data Scientist, Experimentation

Menlo Park, CA

Full-time

Onsite

Senior Level

$187K/yr - $220K/yr

6+ years exp

Robinhood is on a mission to democratize finance for all, and they are seeking a Senior Data Scientist for their Experimentation Platform team. This role involves shaping the statistical foundations of experimentation systems, collaborating with various teams to enhance A/B testing practices, and driving data-informed innovation across the company.

CryptocurrencyFinTechPrediction MarketsStock ExchangesTrading Platform

Responsibilities

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics

Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes

Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making

Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership

Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact

Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes

Assist with established methods, standard approaches, and promote a data-informed culture within the organization

Qualification

Statistical analysisMachine learningPythonSQLData visualizationProject implementationProblem-solvingCritical thinking

Required

Proven expertise in data science, with a strong background in statistical analysis and machine learning

Outstanding problem-solving skills and the ability to think critically and creatively

Strong programming skills in Python & SQL, or other relevant languages

Experience with data visualization tools and techniques

Ability to successfully implement projects and compete in a fast-paced environment

PhD or master's degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models