GTM Data Scientist: Churn & Growth Analytics

Bevi; Boston (MA); On-site; USD 120,700 - 149,100; Full time

Benefits offered by this job

Health benefits

Equity in stock options

Flexible PTO

Total Rewards program

14 company holidays

Job summary

Bevi is seeking a GTM Data Scientist to accelerate our marketing and revenue analytics, partnering with Sales, Marketing, and RevOps to turn data into action. You will build models to quantify churn risk, identify upgrade opportunities, and measure marketing impact across digital and offline channels.

Based in Boston, you will own predictive work, leverage MMM and look-alike techniques, and translate complex findings into clear recommendations for non-technical stakeholders.

Qualifications

• 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 into your models.
• 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 isn’t available.
• You use AI tools in your own workflow to move faster (e.g., exploratory analysis, code, documentation).
• 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.

Responsibilities

• 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.

Skills

SQL

Python/R

Predictive modeling

Causal inference

Communication

AI in workflow

Proactive mindset

Tools

Looker

PowerBI

Hex

Job description

Bevi is seeking a GTM Data Scientist to accelerate our marketing and revenue analytics, partnering with Sales, Marketing, and RevOps to turn data into action. You will build models to quantify churn risk, identify upgrade opportunities, and measure marketing impact across digital and offline channels.

Based in Boston, you will own predictive work, leverage MMM and look-alike techniques, and translate complex findings into clear recommendations for non-technical stakeholders.