Product Data Scientist

What you will accomplish:

• Ship the models that power personalized in-app experiences — predicting what each member is likely to want next based on real-time behavior, family context, and engagement history. 
• Detect meaningful patterns in product usage data — communication, scheduling, and activity signals — and build the models that turn those patterns into in-app suggestions, alerts, and guidance for families. 
• Help replace fixed-placement UI logic with algorithmic decisioning that adapts every time someone opens the app. 

• Build the churn, retention, and activation models that help Product understand which behaviors predict long-term value and which interventions are worth shipping. 
• Develop predictive segmentation, propensity, and uplift models, refreshed continuously through automated pipelines so the rest of the business is always acting on current signal. 

• Partner with Finance on cohort-level subscriber and revenue forecasting, LTV by acquisition source, and sensitivity analysis on the assumptions that matter most. 
• Build pricing, promo, and refund-risk models that quantify the financial impact of monetization decisions before we ship them. 

• Train, deploy, and monitor models in Databricks and AWS, using Claude Code as your primary engineering interface. 
• When agentic delivery makes sense, wrap models in managed agents that surface predictions into the workflows stakeholders already use. 

• Move the team from "what happened" to "what would happen if" — uplift modeling, geo-tests, and A/B analysis grounded in proper causal framing. 

Who you are:

• A modeler who thinks in patterns, hypotheses, and tests, and who owns problems end to end — from question framing through SQL, feature pipelines, modeling, serving, and stakeholder communication. You ship models real decisions depend on, not just notebooks and decks. 
• Pragmatic about ML — you know when a model is worth building and when a heuristic does the job, and you translate a CFO's question and a PM's question with the same fluency. 
• AI-first in how you build. Modern AI tooling — Claude Code, agent SDKs, coding agents — is part of your craft, and you operate at higher leverage because of it. 
• Motivated by work that matters. Families rely on these products during real moments in their lives. 

What you bring:

• 5+ years shipping predictive models in production, ideally across personalization, behavioral prediction, lifecycle ML, or subscription forecasting. 
• Strong Python and SQL. Hands-on experience with Databricks and AWS. 
• Demonstrated success with subscription or consumer-app metrics — LTV, churn, retention, activation, forecasting. 
• Solid grasp of experimentation and causal methods (A/B, DiD, uplift, geo-tests, or similar). 
• Production rigor — feature pipelines, model monitoring, retraining cadence. 

• Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members 
• 401k: Up to a 4% match with immediate vesting   
• Paid leave for all new parents   
• Learning & Development stipend for employees   
• Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day) 
• Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
• Supportive and flexible working environment – work from anywhere!