5-7 years of experience in data analysis or a related field
Proficiency in SQL and Python; R is a plus
Strong understanding of causal inference and experimental design
Ability to communicate complex technical concepts to non-technical stakeholders
Experience in building data products and AI workflows
Demonstrated success in turning ambiguous questions into measurable outcomes
Familiarity with metrics related to product growth and user retention
Responsibilities
Measure the impact of changes through experiments and quasi-experimental methods
Define key success metrics and ensure clarity in their application
Translate analytical findings into actionable business decisions
Collaborate with product and engineering teams to drive bookings
Analyze customer acquisition and retention metrics to identify growth opportunities
Design and execute experiments to validate AI agent performance
Utilize AI tools to enhance productivity and validate outputs
Benefits
Unlimited vacation policy
Comprehensive health insurance options, including fully covered plans
Dental and vision insurance
Wellhub memberships for wellness support
401k plan with company matching
Commuter benefits to ease travel costs
Supplemental life insurance options
Stock options for long-term investment
Full Job Description
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.
