Senior Data Scientist

Numeral
HQ - San Francisco, CAPosted 7 April 2026

Job Description

Senior Data Scientist ABOUT NUMERAL: - Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 50+ countries. We’re eliminating this burden so teams can focus on their core mission. - We’re the largest and fastest growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 2,500 paying customers and have more than tripled our revenue every year in our history. - We’re primarily hiring in our SF and NY offices, but do hire remotely in some cases WHAT YOU’LL DO: - Build and deploy data models and algorithms that improve tax accuracy, anomaly detection, and operational efficiency. - Develop risk, quality, and confidence scoring across filings, transactions, and customer data. - Partner closely with Operations, Product and Engineering to productionize models and integrate them into core workflows. - Design experiments and analyses to inform product decisions, automation strategies, and prioritization. - Identify patterns in large, messy, multi-source datasets. - Improve data reliability and observability across pipelines. - Collaborate with Data Analysts and Ops teams to translate operational pain points into scalable, data-driven solutions. - Help define Numeral’s long-term data science and ML roadmap. WHAT YOU’LL BRING: - 5+ years of experience in Data Science, Applied ML, or advanced Analytics. - Strong proficiency in Python and SQL. - Experience building and shipping models or data products used in production. - Solid grounding in statistics, experimentation, and data modeling. - Ability to reason through ambiguity and design solutions from first principles. - Strong communication skills. - Comfort working in a fast-paced startup environment with real ownership. - Startup mindset: Not scared of ambiguity and hungry for rapid growth - 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 financial, transactional, payments, or compliance data. - Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB. - Experience with DBT or similar ETL frameworks. - Familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). - Exposure to anomaly detection, classification, forecasting, or risk modeling. - Prior startup or high-growth company experience. WHAT WE OFFER: - Competitive salary and equity - you’ll share directly in the company’s success - Full medical, dental, and vision coverage - Wellness perks like Headspace and the Peloton One App - 401(k) to help you build long-term financial security - Lunch and snacks when you’re in the office - Regular team offsites and company events as we grow - A culture built on ownership - your work matters and people will see it!
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