Data Scientist

January 29

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Atticus

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Legal

Atticus is a law firm dedicated to helping individuals navigate the complexities of obtaining various types of aid, such as disability benefits, workers' compensation, and veterans' benefits, from government and insurance agencies. The firm emphasizes its commitment to cutting through bureaucracy and providing fast, effective, and personalized legal assistance. Atticus offers free advice through a team of in-house, Stanford-trained lawyers and matches clients with vetted law firms who work on a contingency fee basis. With high ratings and numerous positive client testimonials, Atticus is trusted for its expertise and client-focused approach in delivering better outcomes than attempting the process alone.

51 - 200 employees

📋 Description

• 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. • 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. • The role is a rare opportunity to join a fast-growing Series B startup that doubles as a B-corp social enterprise.

🎯 Requirements

• You have 4+ years of relevant industry experience at a high-growth startup, or 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 casual inference methods • You’ve shipped and maintained model code in a production environment

🏖️ Benefits

• Medical and dental insurance with 100% of employee premiums covered • 15 vacation days & ~19 paid holidays each year (including two weeks at end-of-year) • Free membership to OneMedical • $1,000 reimbursable stipend for education and training outside of work • Student loan repayment assistance, 401(k), and optional HSA • Free snacks, drinks, weekly lunches, and regular team dinners/events/retreats • Humble, thoughtful, smart, fun colleagues