Data Scientist Finance
Summary
Build full-stack data products and financial models, partner with Finance teams, and turn raw data into business insights using SQL, Redshift/Snowflake/BigQuery, and modern data tools.
You will build full-stack data products and models, develop financial insights with Finance teams, promote experimental design and testing, and work with data engineers to transform raw data into actionable insights for business decisions.
Responsibilities
- Build models to consume, transform, and expose data
- Drive experimental design and testing practices
- Influence data team processes, tools, and systems
- Develop financial insights with Finance teams
- Influence business decisions
- Work with data engineering teams to capture, move, store, and transform raw data
- Turn insights into business actions
Requirements
- 3 years of industry experience in Data Science, Software Engineering, or Finance
- AI proficiency
- Experience shipping high-quality products and features at scale
- Familiarity with financial metrics and processes
- Strong SQL knowledge
- Experience with Redshift, Snowflake, or BigQuery
- Experience with modern data stack tools
- Familiarity with BI tools
- Understanding of business strategy and customer metrics
- Analytics engineering experience
- Experience partnering with Finance teams or working in payments and financial technology
Benefits
- Equity
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
- Medical, dental and vision insurance
- One Medical annual membership
- 401(k) with employer match
- Fertility HRA
- Parental leave
- Pet insurance
- Relocation support