Lead the design, development, and deployment of ML models that predict and influence customer behavior — including churn, retention, activation, lifetime value, and lifecycle transitions.
Build behavioral segmentation frameworks, uplift models, and propensity scoring used across product, lifecycle marketing, and account strategy.
Drive insights for core product areas (audience targeting, measurement, bidding, onboarding, campaign performance) using a mix of causal inference, predictive modeling, and experimentation.
Own end-to-end analytics for key initiatives: partner with Product to define success metrics, guide instrumentation, design experiments, and quantify impact.
Design, build and deploy rigorous and statistically sound models and systems that help customers understand causal effects of their marketing strategies.
Influence product roadmaps using quantified opportunity sizing, behavioral funnel analysis, and deep dives into customer usage patterns.
Collaborate with Data Engineering and ML Platform teams to build scalable pipelines, datasets, and model operationalization workflows.
Act as a technical mentor for the broader analytics and data science team; elevate scientific rigor, model quality, and best practices.

9+ years of experience in data science, machine learning, or advanced analytics roles, ideally in a SaaS, AdTech, or MarTech environment.
Knowledge of and experience in implementing marketing data science models such as predictive models (churn, retention, LTV), advanced segmentation and behavioral clustering.
Skilled in causal inference techniques (e.g., synthetic controls, DiD, uplift modeling, geo-experiments, CUPED) and experimentation frameworks.
Knowledge of ad ecosystems (RTB, attribution, identity graphs, bidding strategies, pixel events, campaign optimization, incrementality).
Strong fluency in SQL and Python, with hands-on experience building and shipping production-grade ML models.
Proven track record partnering with Product to define metrics, run experiments, and shape product strategy.
Excellent data storytelling abilities — able to translate complex patterns into clear, action-oriented recommendations for cross-functional partners.
Comfortable navigating ambiguous problem spaces and driving long-term analytical strategy.

Competitive salary and equity
We cover 100% of the employee-only premium for our HSA medical plan, and 95% of the employee-only premium for our PPO, HMO, dental, and vision plans.
We contribute 75% toward dependent premiums across all medical, dental, and vision plans.
We offer access to Multiply Mortgage, a concierge homebuying service that provides free personalized guidance and below market mortgage rates.
Short and long term disability benefits at no cost to the employee
Basic life and AD&D insurance at no cost to the employee
401K Plan (Pre-tax, Roth and After-tax)
4 weeks of paid time off and work/life balance
Up to 6 weeks of paid disability leave (up to 12 weeks for pregnancy disability leave)
Up to 12 weeks of paid family leave for birthing parents (in addition to pregnancy disability leave)
Up to 16 weeks of paid family leave for non-birthing parents
Up to 12 weeks paid family leave to care for a family member
Join a community of fellow Rollers as a member of one of our Employee Resource Groups
Ample opportunities to volunteer with local organizations with NextRoll Gives Back

Principal Data Scientist

Key skills