SoFi is seeking a Manager, Data Science to optimize application funnels, understand product usage, and enable data-driven strategic decision-making for their Lending Business Insights and Data Science team.
Requirements
- 5+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
- 5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Experience initiating and drive projects to completion with minimal guidance
- Experience communicating and representing results of analysis to senior leadership
- Understanding of statistical analysis, experience with packages, such as Python, R
- Experience with cloud-based platforms, such as AWS, Snowflake
- Experience with building data visualizations with Tableau, Looker or other BI tools
Responsibilities
- Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or SoFi Platforms
- Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute our product decisions
- Build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful
Other
- Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
- 2+ years of experience in managing other team members in a formal or informal capacity
- The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
- Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
