Robinhood aims to democratize finance for all, particularly as $124 trillion of assets will be inherited by younger generations in the next two decades. The role focuses on accelerating product growth through data-informed strategies to improve the trading experience for millions of users.
Requirements
- Proven expertise in data science, with a strong background in statistical analysis and machine learning.
- 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.
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.
Other
- This role is based in our [New York] office(s), with in-person attendance expected at least [3/4/5] days per week.
- 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.
- Outstanding problem-solving skills and the ability to think critically and creatively.
