Product Data Scientist

Hipcamp

About The Position

Hipcamp is hiring a Product Data Scientist to join its Analytics team and embed on the Host Camp, a small cross-functional group spanning Product and Ops. The role focuses on understanding Hosts’ problems, partnering with team leads on strategy, analyzing how people use Hipcamp, identifying growth opportunities, and helping the team prioritize impactful work. As one of two Analysts, the position offers broad ownership and autonomy, requiring both independent and collaborative work and comfort navigating ambiguity. The successful candidate will use statistics, models, and AI in their analytical work, contribute to experiments, and connect data insights to decisions. The position also partners with Data Engineering to build an AI-powered analytics platform, including reusable workflows and self-service tools that improve access to trusted data and insights across the company. Hipcamp describes its work environment as results-focused, emphasizing defined goals, empowerment, autonomy, inclusion, and diversity. Compensation is a mix of salary and stock options, with salary based on location.

Requirements

At least 6 years of experience in product, growth, or marketing analytics or data science.
Strong SQL and data visualization skills.
Solid statistical skills, including designing and interpreting experiments, reasoning about significance and causality, and distinguishing signal from noise.
Sufficient machine learning literacy to interpret model outputs, incorporate them into analysis, and co-design experiments around them.
Strong storytelling and clear communication skills, including the ability to translate analysis into decisions.
Comfort working in a fast-paced environment with shifting priorities and ambiguous paths.
A full-stack approach to analytical work, from generating hypotheses through pragmatic validation and implementation.
Fluency with AI and eagerness to incorporate it into personal and team workflows.
Ability to work independently and with a distributed, cross-functional team.
Curiosity about the community Hipcamp serves.
Passion for Hipcamp’s mission.

Responsibilities

Partner with Product and Ops to shape Host Camp strategy by uncovering growth opportunities, developing hypotheses, and making the analytical case for priorities.
Co-design, set up, and iterate on experiments using model outputs and statistical thinking to pressure-test conclusions.
Keep the Camp’s key performance metrics visible and accessible to the team.
Use AI in the analytical workflow to accelerate exploration, automate repetitive work, prototype ideas, and focus on high-value thinking.
Partner with Data Engineering to build an AI-powered analytics platform, creating reusable workflows and self-service tools that improve company-wide access to trusted data and insights.
Generate hypotheses, validate them pragmatically, and carry solutions through to implementation.
Translate analysis into clear decisions and communicate insights in a way that helps move the team.