About the job
About Numeral
Numeral is revolutionizing the automation framework for internet commerce by addressing the complex and often cumbersome area of sales tax compliance. We manage everything from registration to remittance, providing a premium service that enables e-commerce and digital businesses to concentrate on their core mission: scaling their products, expanding their customer base, and enhancing their teams.
As one of the fastest-growing startups from Y Combinator’s W23 cohort, we are backed by reputable investors such as Benchmark Capital, Mayfield, and Uncork. Our diverse team boasts experience from industry-leading companies like Stripe, Airbnb, and Notion, and we are committed to bringing the same level of innovation, speed, and ambition to an industry that is ripe for transformation.
At Numeral, our small but dynamic team is experiencing rapid growth, and every new hire will have a significant impact on the company’s direction. If you are eager to join as an early team member and seek a role that offers substantial ownership and influence, we would love to connect with you.
About the Role
As a Senior Data Scientist at Numeral, you’ll play a crucial role in developing the intelligence layer that supports automated, precise, and scalable compliance solutions. Collaborating at the intersection of data, product, and engineering, you will design models, analytics, and systems that enhance accuracy, predict risks, and facilitate automation throughout our platform.
This role is not limited to research; you will be responsible for deploying real-world production systems that directly influence customer satisfaction, operational efficiency, and business growth.
This position offers high levels of ownership and a broad scope, making it perfect for individuals who thrive in fast-paced environments and want their contributions to make an immediate impact.
What You’ll Do
Design and implement data models and algorithms that enhance tax accuracy, detect anomalies, and improve operational efficiency.
Create risk, quality, and confidence scoring mechanisms for filings, transactions, and customer data.
Collaborate closely with Operations, Product, and Engineering to integrate models into core workflows and ensure their successful production.
Design and execute experiments and analyses to guide product decisions, automation strategies, and priority setting.
Analyze large, complex datasets from multiple sources (e.g., payments, e-commerce transactions) to identify trends and insights.