Senior Data Scientist
Role Overview
As a Senior Data Scientist at Numeral, you will build and deploy data models and algorithms to improve tax accuracy, anomaly detection, and operational efficiency in a fast-moving startup environment. You will work closely with Operations, Product, and Engineering teams to productionize models, design experiments, and develop risk and confidence scoring systems that directly impact customer outcomes and business growth. This high-ownership role involves handling large, messy datasets and shaping the company's long-term data science roadmap.
Perks & Benefits
This role is fully remote, offering flexibility in location, with likely expectations for collaboration across time zones in a fast-paced, high-growth startup culture. As an early team member, you will have significant ownership and career-defining impact, working in a small but mighty team backed by top-tier investors. The environment emphasizes minimal process, real ownership, and opportunities for immediate contribution to the company's trajectory.
Full Job Description
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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