Product Data Scientist

In Tandem

Product Data Scientist at In Tandem delivering predictive models that improve family technology applications. Collaborating with Product and Finance on behavioral analysis and data-driven insights.

Posted 6/16/2026full-timeRemote • Minnesota • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modelingbehavioral predictionlifecycle machine learningsubscription forecastingPythonSQLA/B testinguplift modelinggeo-testsfeature pipelines

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingadaptability