Data Scientist

About Fora

Fora is the modern travel agency, empowering the next generation of entrepreneurs to build thriving travel advisory businesses. We're modernizing the $100B+ travel industry with AI woven through every part of the advisor's workflow, plus global supplier relationships, personalized training, and a vibrant community, all in one place. That's what lets advisors build businesses that scale, while their taste and service create trips no algorithm alone could plan. At the heart of it all is our mission: to help the next generation of travel entrepreneurs turn their love for travel into a fulfilling career, whether full-time or part-time.

We're mission-driven and obsessed with our customers, and we believe humans and AI are both essential: the best work here comes from people and technology at their best, together. That's not just a philosophy about our product, it's how we build our team. Everyone at Fora gets hands-on with frontier AI tooling as part of the job. At Fora, you'll learn to be AI-fluent, with real experience applying AI to solve problems day to day, wherever you sit in the company.

Founded in 2021, Fora has grown to a team of 250+ full-time employees based in downtown New York City. In 2026, we closed a $60 million Series D led by Forerunner and Tactile Ventures, with continued backing from Thrive Capital, Insight Partners, and Heartcore Capital. We've been named a LinkedIn Top Startup (2024), one of Fast Company's Most Innovative Companies (2023 and 2025), and one of TIME's 100 Most Influential Companies (2026).

Come build something that hasn't existed before.

About The Org

Data Science is a central org that sits at the center of how Fora makes decisions, from product and marketing to the plans leadership sets for the company. We own the metrics Fora runs on, the experiments that show what works, and the analyses that set the roadmap.

About The Role

You'll be the analytical partner for one area of the business and own its hardest questions: is this working, why, and what should we do next. Most of them are causal. You'll also build data products, reusable tools and AI workflows, that the rest of Fora uses every day.

What you'll do

- Measure what changes cause: experiments, holdouts, quasi-experimental methods.

- Define success: north-star, leading and guardrail metrics, from logging to definition.

- Turn findings into decisions, and follow through on whether they worked.

Focus Areas

- Product. Partner with product and engineering on what moves bookings, not usage.

- Growth. Acquisition to retention: incrementality, churn, early signals of success.

- Experimentation & Statistics. Experiment design and quasi-experimental methods.

- Agent Evals. Prove our AI agents work: eval sets, LLM judges, links to bookings.

Focus Areas

- Have taken ambiguous questions to decisions and measurable results.

- Write production SQL and Python, and check your own numbers (R considered).

- Explain technical work plainly to executives and change minds with evidence.

- Have run experiments end to end, and used causal inference when you couldn't.

- Use AI tools to work faster and know how to check what they produce.

Compensation

Compensation for this role varies based on experience, with an indicative range of $158K–$239K + equity. Final compensation will depend on the level at which the candidate is hired, as we’re considering multiple levels for this role.

- Unlimited vacation

- Health Insurance (including an option completely covered by Fora HQ)

- Dental & Vision Insurance

- Wellhub Memberships

- 401k plan with company match

- Commuter Benefits

- Supplemental Life Insurance

- Stock Options

This role is based in our beautiful New York City office (Tribeca/Fidi) with lots of natural light and great views. Our Values

We’re forging our own path

Fora has always been about driving change within the industry. We’re not interested in maintaining the status quo.

We’re stronge