Description

Job Title: Data Scientist

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.

What you’ll do:

• 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
• 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

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.

Qualifications

Required:

• 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

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.

Salary and Benefits

This is a rare opportunity to join a startup that has strong traction (substantial funding, well-respected backers, tremendous growth, and many happy customers) but is still small enough that you can have a huge impact and play a role in shaping our culture.

We’re a certified B Corporation tackling a critical social problem. Our mission to help people in need drives everything we do, and your work here will touch many lives.

We offer competitive pay — including equity — and generous 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 One Medical
• $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

We anticipate the base salary band for this role will be between $150,000 and $180,000 in addition to equity and benefits. The salary at offer will be determined by a number of factors such as candidate’s experience, knowledge, skills and abilities, as well as internal equity among our team.

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