Data Scientist

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At any given time, 16 million Americans are experiencing a crisis that requires urgent help from our legal system or government. The right assistance could transform their lives. But today, most never get it. Atticus makes it easy for any sick or injured person in crisis to get the life‑changing aid they deserve. In the last six years, we’ve become the leading platform connecting people with disabilities to government benefits.

We also help victims of accidents, misconduct, and violence get compensation from insurance. So far, we’ve gotten thousands of people access to over $4B in life‑changing aid, and we’re just getting started.
We’ve helped more than 110,000 people in need (see our 16,000+ five‑star reviews) and raised more than $100 million from top VC firms like Fika, Forerunner, GV (Google Ventures), and True Ventures. (We closed our Series C round in April 2025, so we're well‑funded for the foreseeable future.) In 2025, our team grew from 151 to 210, and we expect to grow again in 2026.

Our business generates a wealth of data with untapped potential to support people in need of aid, and improve their likelihood of positive outcomes in the legal system. Our platform covers a lot: evaluating a client’s case, giving advice, matching them with the right lawyer, formalizing the arrangement, and helping both parties work together as the case progresses. The data we generate across this end‑to‑end journey provides a unique opportunity to improve client experiences at a national scale for the legal practice areas we support, using novel data unavailable to other industry actors (individual law firms, government agencies).

We are looking for Data Scientists to join our team and leverage this data to fulfill our mission. You’ll help establish the central Data Science team with our Lead Data Scientist, and embed closely with departments within Atticus to help us better apply data across all areas of our platform.

Serve as a founding member of the company’s data science function, building a culture of collaboration, growth, and excellence that will attract talent for years to come.

The role is a rare opportunity to join a fast‑growing Series B startup that doubles as a B‑corp social enterprise. Every project you take on will help clients in need get the help they deserve, and you’ll shape our company culture as we scale. We’re looking for data scientists who are excited about our mission and the challenges it entails.

• Design metrics, build data pipelines, run experiments, launch models – apply a broad toolkit to expansive data from a rapidly growing business
• Work closely with department leads and their teams to ensure our decision‑making and operations are data‑informed
• Interpret data as the collective voice of our clients, generating insights that inform our product roadmap and user experience
• Hold teams accountable to measurable impact, enabling them to identify and target their most effective levers to improve the business

Required:

• You have 4+ years of relevant industry experience at a high‑growth startup, or a scrappy team at a larger company
• You’re eager to jump in and serve as the primary data thought partner for a cross‑functional team working on a novel and quickly evolving problem space
• You’re excited about providing “full‑stack” data support covering metric & data model design, exploratory analysis, testing & experimentation, and predictive modeling
• You’re fluent in SQL, and have substantial professional experience with Python or R
• You’ve built key metrics, reporting, and models from scratch for a product or business domain
• You’ve leveraged A/B testing or causal inference methods to help teams identify and target their most effective levers

Bonus / Nice‑to‑Have:

• You have experience working on a two‑sided marketplace
• You have experience with non‑experimental causal inference methods
• You’ve shipped and maintained model code in a production environment

We are strongly committed to building a diverse team. If you’re from a background that’s underrepresented in tech, we’d love to meet you.

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