Product Data Scientist

About this role

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-max updates and required static options.

• Translate data and analytics into clear insights and recommendations.

• Build clear, informative dashboards and drive adoption to democratize product data.

• Partner with data engineering and software teams on data quality, tagging, and instrumentation.

Who You Are:

• 2-4 years of professional experience in product analytics, digital analytics, or data science.

• Strong hands-on experience with GA4 and tag management (e.g., GTM) — comfortable owning both the tracking implementation and the analysis built on top of it.

• Hands-on experience designing and analyzing experiments — A/B testing and non-traditional/quasi-experimental methods (e.g., pre/post, difference-in-differences, propensity score matching) for situations where clean randomization isn't possible.

• Strong SQL and Python/R for querying, modeling, and analysis.

• Experience with data visualization tools (e.g., Looker, PowerBI, Hex).

• You use AI tools in your own workflow to move faster (eg exploratory analysis, code, documentation), and think about how to make product data accessible to AI tools as well as people.

• A proactive, go-getter mindset — you notice what needs to get built before you're asked, and drive your own work to completion without needing to be chased.

• Excellent communication skills — able to translate complex findings into clear, actionable recommendations for non-technical stakeholders.

#LI-CD1

#LI-HYBRID At Bevi, we believe compensation is a powerful tool to attract, retain, and grow talent. Our Compensation Philosophy centers on 5 principles:

• Market-driven - We anchor pay decisions in real-time market data

• Performance-based - We reward individual impact, not just tenure

• Equitable - We ensure fairness across teams, roles, and demographics

• Growth-focused - We invest in talent that scales with Bevi

• Total Rewards approach - We strategically balance base pay, bonuses, benefits, and equity

The posted compensation range reflects the salary* for this position. Some roles may be eligible for a commission plan or a bonus incentive. All Bevi employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, flexible spending accounts, flexible PTO, and more. Offers to join Bevi are based on a few criteria, including the scope of the role, the candidate's work experience, targeted skills, internal equity of the team, and external market data.

*For Sales roles: The posted range reflects base salary plus commission which is the total potential on target earnings (OTE) for the position.

Pay Range $120,700 — $149,100 USD

Benefits:

• Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer

• 401(k) with company match

• Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc

• Generous fully paid parental leave for both birth parents and non-birth parents

• Fully employer paid disability and life insurances

• Wellness and fitness reimbursements

• Monthly stipends for cell phone use and commuting costs

• Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too

• Happy hours, team-building events, bagel breakfasts, Values awards - and more.

A note on AI in our hiring process : We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team

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