GTM Data Scientist

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 were building a future where Bevi machines are everywhere people live work and connect. Weve raised over $160M in venture capital serve thousands of customers across the US Canada UK and Ireland and weve been rapidly growing year over year saving over 1 billion bottles from addition to driving hypergrowth with our current product line Bevi is heavily investing in new product development.

Ever wonder which customers are about to churn before they do or whether that marketing campaign actually moved the needle instead of just riding a coincidence Thats this role. Bevis go-to-market (GTM) strategy is built at the intersection of Marketing and Sales: how we acquire new customers and how we retain and grow existing accounts. Were looking for a GTM Data Scientist who can accelerate this function. On the marketing side youll measure the true incremental impact of our marketing spend across the full funnel - digital and offline alike from paid social to events to BeviMobile - and build the leading indicators that keep the team grounded in whats working between deeper reads. On the customer side youll build the models that flag churn risk surface expansion and upgrade opportunities and identify look-alike prospects. Youll partner closely with Sales Marketing and RevOps stakeholders to turn data into a clear point of view on what to do next. Were 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:

• Build predictive models to identify churn risk and surface upgrade/expansion opportunity across our customer base to inform proactive outreach and account prioritization.
• Build look-alike models to identify which prospects resemble our best customers and own cohort reporting to track how customer segments perform over time.
• Build marketing mix models (MMM) and incrementality analyses to measure the true impact of marketing spend across the full funnel - digital and offline including events BeviMobile and social - and inform marketing budget optimization decisions.
• Identify leading indicators - including proprietary composite metrics - for weekly reporting that give early signal on marketing performance in between full MMM reads.
• Partner with the Marketing Analytics Engineer to inform the data structures your modeling work needs and ensure the underlying data is accurate and well understood.
• Translate data and analytics into clear insights and recommendations.

Who You Are:

• 2-4 years of professional experience in data science applied statistics or analytics ideally with exposure to customer/revenue analytics or marketing measurement.
• Hands-on experience building predictive/classification models (e.g. churn propensity look-alike) using techniques like logistic regression gradient boosting or similar.
• Experience with causal inference or marketing measurement methods (e.g. MMM incrementality testing difference-in-differences) - comfortable incorporating both digital and offline channels (eg events experiential) into your models not just clean digital data.
• Strong SQL and Python/R for querying modeling and analysis.
• Experience with data visualization tools (e.g. Looker PowerBI Hex).
• A creative problem solver comfortable designing a measurement approach when the textbook experiment isnt available.
• You use AI tools in your own workflow to move faster (e.g. exploratory analysis code documentation) and think about how to make your models and analyses accessible to AI tools as well as people.
• A proactive go-getter mindset - you notice what needs to get built before youre 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

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 and interviews may be recorded to support note-taking just let us know if youd prefer we dont. Well also ask how youre learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with theMass AI Coalition a collaboration that aligns with our dedication to community-driven progress and the future of technology.

Were passionate about supporting career growth and would love to be part of your professional journey. We also know that talent comes in many forms. We value individual accomplishments specialized knowledge and genuine passion over simply checking boxes on a requirements list. Whether youre a seasoned expert or an emerging talent were looking for people who are ready to build whats next. If any of our open positions interest you wed encourage you to apply!A member of the Bevi Talent team will be reaching out about next steps if we would like to move forward.

Accommodations:

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact .