[Remote] Product Data Scientist

Note: The job is a remote job and is open to candidates in USA. In Tandem is a company that builds technology to help families manage their everyday routines and transitions. As a Product Data Scientist, you will analyze behavior and create predictive models to enhance app experiences, working closely with Product and Finance to influence product strategy and direction.

Responsibilities

• 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

Skills

• 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

Benefits

• 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!

Company Overview