Product Data Scientist
Position Summary & Responsibilities
Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.
Ever wonder how much of a lift a new flavor gives us, or which flavor a specific machine should be pouring in a specific office at a specific moment? That's this role. We're looking for a Product Data Scientist to support both our Beverage and Software product teams — measuring the incremental impact of every new flavor we launch, and building the recommendation engine that decides what each machine should offer next. You'll also own analytics across our Bevi-proprietary digital experiences, including the UI and the Well, plus our other websites (get a quote, order more, technical support). You'll partner closely with Product, Design, and Engineering on both teams, turning data into a clear point of view on what we build next. We're looking for someone who spots what needs to get built before being asked, and drives it to done rather than waiting for direction.
Your Day to Day:
- Own analytics for our Bevi-proprietary digital experiences, including the UI and the Well — consult with Software on tracking structure, and own the analysis that shows what's working and what's not to inform the product roadmap.
- Own tracking and analytics for Bevi.co and Partner.co, including GA4 and tag management, to inform the product roadmap.
- Recommend the right analytics tools for our web properties alongside GA4/GTM — session replay, self-serve data, testing, heatmaps — in partnership with Product.
- Measure the incremental impact of new flavors, blending A/B testing with non-traditional methods where clean experiments aren't possible.
- Build the flavor recommendation engine — models that identify the optimal flavor profile per machine (or cluster), within real constraints like weekly-m
Key Role Competencies & Evaluation Highlights
Evaluates commercial beverage industry savvy, supply chain awareness, and distribution network optimization capabilities.
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