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!