Data Scientist, Finance
Develops and ships data science models and financial insights that guide Finance and business decisions. The role requires 3+ years of industry experience, strong SQL and AI proficiency, and familiarity with financial metrics or B2B enterprise sales processes.
About the job
Responsibilities
- Build full-stack data science solutions, including models that consume, transform, and expose data to stakeholders and production systems.
- Drive experimental design, testing agendas, and data science best practices.
- Influence the data team's processes, tools, and systems to enable scalable decision-making.
- Collaborate with Finance teams, including GTM Finance and StratFin, to develop financial insights and influence business decisions.
- Partner with data engineering teams to capture, move, store, and transform raw data into actionable insights.
- Work with business teams to turn insights into action.
Requirements
- 3+ years of industry experience in data science, software engineering, or finance.
- Strong AI proficiency and ability to quickly adopt new skills and subject matter.
- Track record of shipping high-quality products and features at scale.
- Ability to thrive in a fast-paced startup environment focused on iterative technical solutions.
- Familiarity with financial metrics and processes, such as contribution profit, financial statements, and monthly close, and/or B2B enterprise sales-cycle metrics and processes.
- Strong SQL knowledge, preferably with Redshift, Snowflake, or BigQuery, including writing efficient queries.
Nice-to-Haves
- Experience with the modern data stack, such as Fivetran, Snowflake, dbt, Looker, or Hightouch.
- Familiarity with BI tools such as Looker, Omni, Sigma, or Hex, and experience distributing insights through reports and dashboards.
- Strong intuition for business strategy and customer empathy, including ROI, growth channels, sales cycles, and customer incentives.
- Strong perspective on analytics engineering practices, including data modeling, version control, documentation, testing, and codebase development.
- Experience partnering with finance teams or working in payments and financial technology.
Compensation and Benefits
- Annual salary range: $137,120–$297,330.
- Flexible PTO.
- Centralized home-office equipment ordering.
- Health and wellness stipend.
- Budget for intra-office travel.
- Weekly coffee stipend.
- 100% medical, dental, and vision insurance coverage for employees, with partial dependent coverage.
- One Medical annual membership.
- 401(k) with employer match on contributions made while employed.
- Fertility HRA of up to $10,000 per year.
- Parental leave of up to 16 weeks for birthing and bonding or 8 weeks for bonding only, at 100% pay.
- Pet insurance.
- In-office meals, snacks, drinks, and other perks.
- Relocation support to NYC or SF as needed.
Skills
Python, SQL, Redshift, Snowflake, BigQuery, Fivetran, dbt, Looker, Hightouch, Omni, Sigma, Hex, Data Modeling, A/B Testing, Version Control
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