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Hipcamp has unlocked access to 5 million acres of private camping worldwide, hosting over 120k unique campsites and helping millions of people book tent, RV, and cabin experiences annually. The company is backed by top-tier investors including Andreessen Horowitz, Benchmark, Bond Capital, and Index Ventures.
You'll join the Analytics team as a Product Data Scientist embedded within the Host Camp, a small cross-functional crew spanning Product and Ops. Your mission is to provide data insights that drive impact and guide strategy. As one of two analysts on the team, you'll have large ownership areas and real autonomy.
Key responsibilities include:
- Partner with Product and Ops leadership to shape Host Camp strategy by uncovering growth opportunities, developing hypotheses, and making the analytical case for resource allocation
- Co-design experiments using model outputs and statistical thinking to pressure-test conclusions and iterate quickly
- Maintain visibility of key performance metrics across the team so everyone can track progress
- Integrate AI throughout your analytical workflow to accelerate exploration, automate repetitive work, and prototype ideas
- Collaborate with Data Engineering to build an AI-powered analytics platform with reusable workflows and self-service tools
You'll work independently and collaboratively in equal measure, spotting opportunities, forming hypotheses, validating them quickly, and delivering actionable insights. You're comfortable with foundational analytical work and deep analytical projects alike. You connect numbers to decisions and move teams with clear storytelling.
The role emphasizes a full-stack approach: you generate hypotheses, validate them pragmatically, and carry solutions through to implementation. You'll operate in a fast-paced environment where priorities shift and you adapt as the company learns.
REQUIREMENTS:
- 6+ years in product, growth, or marketing analytics or data science
- Strong SQL and data visualization skills
- Solid statistics: design and read experiments well, reason about significance and causality, distinguish signal from noise
- ML literacy: interpret model output, fold it into analysis, co-design experiments around models
- Strong storytelling and communication skills; ability to translate analysis into decisions
- Comfort in fast-paced environments with shifting priorities; ability to find impact where the path isn't obvious
- Full-stack working style: generate hypotheses, validate pragmatically, implement solutions
- Fluency with AI and eagerness to integrate it into your work and the team's
- Ability to work both independently and with distributed, cross-functional teams
- Curiosity to deeply understand the camping community
- Passion for Hipcamp's mission
