Product Data Scientist

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In Tandem

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 B2C

☁️ SaaS

⚡ Productivity

B2C • SaaS • Productivity

In Tandem is a global technology platform that builds digital tools and apps to support families through key stages and daily life. The company develops and operates consumer-focused family solutions—including co-parenting, family organization, communication and parenting-schedule apps—that aim to improve connection, coordination, and peace of mind for modern families. In Tandem’s products are designed to simplify routines, support co-parenting and family communication, and provide resources during challenging times.

📋 Description

• 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.

🎯 Requirements

• 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!