GTM Data Scientist
BeviSmart Water company
Boston, United States$120,700 - $149,100 USDMid
Bessemer Venture Partners
Horizons Ventures
Techstars
Cowen Sustainable Investments
Trinity Ventures
Data & AI
About the role
TL;DR
Builds predictive models and analyzes data to drive go-to-market strategy for a beverage technology company.
- •Bevi is seeking a GTM Data Scientist to accelerate its go-to-market strategy by building predictive models for customer churn, identifying expansion opportunities, and measuring marketing campaign effectiveness.
- •This role sits at the intersection of Marketing and Sales, driving data-informed decisions.
- •Key Responsibilities Build predictive models to identify churn risk and surface upgrade/expansion opportunities.
- •Develop look-alike models to identify high-potential prospects and track customer segment performance.
- •Construct marketing mix models (MMM) and incrementality analyses to measure marketing spend impact.
- •Identify leading indicators for weekly reporting on marketing performance.
- •Translate data and analytics into clear insights and actionable recommendations.
- •Requirements 2-4 years of professional experience in data science, applied statistics, or analytics.
- •Hands-on experience building predictive/classification models (e.g., churn, propensity, look-alike).
- •Experience with causal inference or marketing measurement methods (e.g., MMM, incrementality testing).
- •Strong SQL and Python/R for querying, modeling, and analysis.
- •Experience with data visualization tools (e.g., Looker, PowerBI, Hex).
Required skills
PythonSQLscikit-learnPandasNumPyGo-to-MarketMarketing Analytics
Nice-to-have skills
RLookerPower BI
Domain expertise
cleantech
Benefits & perks
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.
Tech stack
PythonSQLRLookerPower BIPandasNumPyscikit-learn