N
Numeralvia Ashby
Senior Data Scientist
HQ - San Francisco, CA$200K - $250K/yrPosted 4mo ago
Data ScientistSeniorFull-time#ai-lab
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About the Role
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!
- 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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