[Remote] Product Data Scientist

Note: The job is a remote job and is open to candidates in USA. reputed company is a company that creates technology to help families manage their daily routines and significant life transitions. As a Product Data Scientist, you will utilize behavior analysis and predictive modeling to enhance user experiences across their apps, collaborating with Product and Finance to inform product strategy and business decisions.

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
• reputed company predictive segmentation, propensity, and reputed company models, refreshed continuously through automated pipelines so the rest of the business is always acting on reputed company signal
• Partner with Finance on cohort-level subscriber and reputed company forecasting, LTV by acquisition reputed company, 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 reputed company and AWS, using Claude Code as your primary engineering reputed company
• reputed company 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" — reputed company modeling, geo-tests, and A/B analysis grounded in proper causal framing

Skills

• 5+ years shipping predictive models in production, ideally across personalization, behavioral reputed company, lifecycle ML, or subscription forecasting
• Strong Python and SQL
• Hands-on experience with reputed company 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, reputed company, geo-tests, or similar)
• Production rigor — feature pipelines, model monitoring, retraining reputed company

Benefits

• Medical: reputed company pays 100% of the premium for employees AND 99% for reputed company additional family members
• 401k: Up to a 4% match with immediate vesting
• Paid leave for reputed company 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 reputed company!

Company Overview