Senior Data Scientist, Product
Robinhood
PythonSQL
Data Scientist, Product
Robinhood
full-time
Posted on:
Location Type: Hybrid
Location: Menlo Park • California • 🇺🇸 United States
Visit company websiteSalary
💰 $154,000 - $181,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- 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 inform decision-making.
- Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-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 cross-functional teams to integrate data-driven decision-making into product and business processes.
- Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization.
- Influence product roadmap and improve the trading experience for millions of users as part of a high-impact, cross-functional group.
- In-person attendance expected at least 3 days per week in Menlo Park, CA office(s).
Requirements
- 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.
- At least 5-10 years of experience developing and deploying predictive models.
- Experience mentoring other data scientists and contributing to standard methodologies.
Benefits
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- In addition to base pay, role is eligible for bonus opportunities + equity + benefits
- Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencestatistical analysismachine learningPythonSQLdata visualizationpredictive modelsA/B testingcausal inference analysisdashboard development
Soft skills
problem-solvingcritical thinkingcreativitymentoringcommunicationcollaborationleadershipproject implementationadaptabilityinfluence
Certifications
PhDmaster's degree
