Senior Data Scientist, Product Analytics

Fora Travel

$130K — $185K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in product data science, product analytics, or consumer analytics, ideally in consumer or marketplace companies.
  • Experience designing product experiments using causal inference techniques.
  • Proven expertise in building predictive models and applying machine learning techniques.
  • Advanced SQL skills with proficiency in Python or a similar scripting language.
  • Hands-on experience with modern cloud data stacks, data modeling best practices, and LLM tools.

Responsibilities

  • Lead in-depth analyses of product usage and advisor behavior influencing product features.
  • Own the complete lifecycle of product data from instrumentation to actionable insights.
  • Design and analyze experiments while establishing best practices across the company.
  • Collaborate with cross-functional teams to develop product roadmaps and measure success.
  • Create predictive models to enhance user experiences and product personalization.
  • Elevate the data team's performance by mentoring peers and defining best practices.

Benefits

  • Unlimited vacation
  • Comprehensive health insurance options
  • Dental and vision insurance included
  • 401k plan with company match
  • Stock options and equity incentives
Full Job Description
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.

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