Job description

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 Role Fora is hiring a Senior Data Scientist to help us build and deliver delightful product experiences to our advisors and their clients. As our product organization grows, we're looking for someone to raise the bar on how we measure, experiment, and ship products. Fora operates in a dynamic, 3-sided marketplace. As an early member of the team, you'll work on a range of products, from the core booking platform to new, AI-powered experiences. This is a foundational role on the Data Science & Analytics team. You'll operate as a strategic partner to Product, Engineering, and Design, helping drive decisions around roadmap prioritization, feature investment, and what we build next. Key Responsibilities Lead deep analyses of product usage and advisor behavior that shape product features and roadmap prioritization. Own the full lifecycle of product data — from instrumentation and event definitions through to actionable insight — partnering with data engineering along the way. Design and analyze experiments across core product surfaces, while defining best practices for the company. Collaborate with product, engineering, and design partners to develop product roadmaps, launch features, and measure success. Build models to predict user behavior and deliver personalized product experiences. Raise the bar across the data team — mentor peers, establish best practices, and shape the team's processes, tools, and standards. Requirements 5+ years in product data science, product analytics, or consumer analytics. Experience at consumer or marketplace companies preferred. Experience designing and analyzing product experiments, including causal inference techniques. Experience building predictive models and applying machine learning techniques. Advanced SQL skills are essential. Proficiency in Python or another scripting language preferred. Hands-on experience with a modern cloud data stack (e.g. Airbyte, BigQuery, dbt, Hex, Omni, or equivalents) and data modeling best practices. Experience using LLM tools (e.g. Claude Code, Cursor, OpenAI Codex) to accelerate analysis and prototyping. Strong communication and storytelling skills. Deeply curious with a drive to learn. Pragmatic. Looking for real world business impact, not a science project. A collaborative and empathetic mindset with experience supporting and leveling up your peers. Compensation Compensation for this role varies based on experience, with an indicative range of $130K–$185K + 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 stronger together Community is our cornerstone and collective power is our strength. We believe we can all go further when we operate together, using our combined leverage to unlock better opportunities and outcomes for our advisors, partners, and travelers. We believe in technology We believe technology is an answer to some of the most fundamental challenges the travel industry faces. We believe advancements in AI, bold investments in our platforms, and a world-class data infrastructure will transform the work of our advisors and our partners, while creating better travel experiences for travelers. We’re here to serve We operate in service of our community and believe that when they’re empowered to focus on what they do best, we all win. It’s why we relentlessly advocate for our advisors and prioritize their best interest every step of the way. We mean business Fora is equal parts fun, meaningful work and serious travel business. We’re unlocking opportunities for thousands of travel entrepreneurs, delivering a stream of high-quality guests at scale for our partners, and providing a superior travel experience for our travelers. It’s a better equation for the future of our industry. WORK AUTHORIZATION Authorization to work in the United States is required for full-time roles based in our New York City office. Fora is unable to sponsor or assist with U.S. work authorization. Roles based outside of the United States are not subject to this requirement. EQUAL OPPORTUNITY Fora is committed to an equitable hiring process and an inclusive work environment. BIPOC and traditionally underrepresented candidates are strongly encouraged to apply. We will not discriminate and will take action to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression or any other characteristic protected by law.

Requirements

Must-haves

Lead deep analyses of product usage and advisor behavior that shape product features and roadmap prioritization.
Own the full lifecycle of product data — from instrumentation and event definitions through to actionable insight — partnering with data engineering along the way.
Design and analyze experiments across core product surfaces, while defining best practices for the company.
Collaborate with product, engineering, and design partners to develop product roadmaps, launch features, and measure success.
Build models to predict user behavior and deliver personalized product experiences.
Raise the bar across the data team — mentor peers, establish best practices, and shape the team's processes, tools, and standards.
Experience designing and analyzing product experiments, including causal inference techniques.
Experience building predictive models and applying machine learning techniques.
Hands-on experience with a modern cloud data stack (e.g. Airbyte, BigQuery, dbt, Hex, Omni, or equivalents) and data modeling best practices.
Experience using LLM tools (e.g. Claude Code, Cursor, OpenAI Codex) to accelerate analysis and prototyping.
Strong communication and storytelling skills.
Deeply curious with a drive to learn.
Pragmatic. Looking for real world business impact, not a science project.
A collaborative and empathetic mindset with experience supporting and leveling up your peers.

Nice-to-haves

5+ years in product data science, product analytics, or consumer analytics. Experience at consumer or marketplace companies preferred.
Advanced SQL skills are essential. Proficiency in Python or another scripting language preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsqlpythonllmgo

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k