Product Data Scientist

Bevi • Boston, MA

14h • $120,700 - $149,100 • Hybrid

About The Position

Bevi is seeking a Product Data Scientist to support its Beverage and Software product teams. This role will focus on measuring the impact of new flavors, building a recommendation engine for machine offerings, and owning analytics for Bevi's digital experiences and websites. The ideal candidate will partner with Product, Design, and Engineering to translate data into actionable insights and drive product development. Bevi is a leader in IoT-enabled beverage technology, aiming to reduce single-use bottle waste and is experiencing rapid growth.

Requirements

• 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), including tracking implementation and analysis.
• Hands-on experience designing and analyzing experiments (A/B testing and non-traditional/quasi-experimental methods).
• Strong SQL and Python/R for querying, modeling, and analysis.
• Experience with data visualization tools (e.g., Looker, PowerBI, Hex).
• Experience using AI tools in workflow for tasks like exploratory analysis, code generation, and documentation.
• Proactive, go-getter mindset with the ability to identify needs and drive work to completion independently.
• Excellent communication skills to translate complex findings into actionable recommendations for non-technical stakeholders.

Nice To Haves

• Experience with AI tools and making product data accessible to AI tools.

Responsibilities

• Own analytics for Bevi-proprietary digital experiences, including the UI and the Well, and consult with Software on tracking structure 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 analytics tools for web properties (e.g., session replay, self-serve data, testing, heatmaps) in partnership with Product.
• Measure the incremental impact of new flavors using A/B testing and non-traditional methods.
• Build the flavor recommendation engine to identify optimal flavor profiles per machine or cluster, considering constraints.
• Translate data and analytics into clear insights and recommendations.
• Build and drive adoption of clear, informative dashboards to democratize product data.
• Partner with data engineering and software teams on data quality, tagging, and instrumentation.

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
• 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 unlimited Bevi
• Happy hours, team-building events, bagel breakfasts, Values awards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed