Our client, a hyper-growth, well-funded AI company, is hiring a Sr. Data Scientist. The company is backed by Mayfield, Benchmark, and YC. They have been growing 3.5x year over year and have over 100 employees.
What you'll do:
- Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings
- Normalize customer data across platforms (e.g. Stripe, Shopify, our API) to ensure integrity in tax workflows
- Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues
- Support our customer-facing teams with ad hoc data questions, investigations, and insights
- Build internal tooling and processes to streamline reconciliation and improve onboarding throughput
- Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture
What you'll bring
- Proficient in SQL and Excel / Google Sheets
- Strong analytical and pattern recognition skills across large, messy, or multi-source datasets
- Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)
- Strong problem-solving skills and ability to operate with autonomy in fast-moving environments
- Clear communicator with high attention to detail and a collaborative mindset
- Intensity & Ownership: This is not a 9-5 — we’re scaling rapidly and have a massive opportunity ahead of us.
- Customer Obsession: You deeply care about the user experience and solving their problems
Even better:
- Experience with DBT or similar ETL frameworks
- Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB
- Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)
- Prior exposure to tax, compliance, or accounting-related data
- A background in operations, finance, or technical customer success
