Democratize finance for all, particularly with the largest transfer of wealth in human history to younger generations in the next two decades
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
- PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 5-10 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 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
- Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization
Other
- 3 days per week in-person attendance expected at Menlo Park, CA office
- Ability to successfully implement projects and compete in a fast-paced environment
- Strong problem-solving skills and the ability to think critically and creatively
