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2 дня назад

Product Data Scientist

100 000 - 140 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
France/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Data Scientist (ML): Building predictive and behavioral models that power personalized in-app experiences, churn/retention/activation, and finance forecasting with an accent on production ML pipelines, experimentation/causal rigor, and model-driven decisioning. Focus on shipping models end to end—from question framing and SQL feature pipelines to deployment/monitoring in Databricks/AWS and stakeholder communication.

Location: Remote (USA)

Salary: $100,000 - $140,000 / year

Company

hirify.global builds technology that helps families manage everyday routines and navigate major life transitions.

What you will do

  • Ship models for smart, personalized in-app experiences using real-time behavior, family context, and engagement history.
  • Detect usage patterns (communication, scheduling, activity) and turn them into adaptive suggestions, alerts, and guidance.
  • Build lifecycle ML models for churn, retention, and activation, plus predictive segmentation/propensity/uplift refreshed via automated pipelines.
  • Partner with Finance on cohort-level subscriber/revenue forecasting, LTV by acquisition source, and sensitivity analysis; build pricing/promo/refund-risk models.
  • Train, deploy, and monitor models in Databricks and AWS, using Claude Code as the primary engineering interface.
  • Improve experimentation rigor with uplift modeling, geo-tests, and A/B analysis grounded in causal framing.

Requirements

  • Location: Must be based in the USA
  • 5+ years shipping predictive models in production (personalization, behavioral prediction, lifecycle ML, or subscription forecasting).
  • Strong Python and SQL; hands-on experience with Databricks and AWS.
  • Proven impact on subscription/consumer-app metrics (LTV, churn, retention, activation, forecasting).
  • Solid experimentation and causal methods experience (A/B, DiD, uplift, geo-tests, or similar).
  • Production rigor: feature pipelines, model monitoring, and retraining cadence.

Culture & Benefits

  • Fully remote work with a “work from anywhere” environment.
  • Medical coverage: hirify.global pays 100% of employee premium and 99% for additional family members.
  • 401k match up to 4% with immediate vesting.
  • Paid leave for new parents and paid time off (including holidays, winter break, volunteer time off, and floating holiday).
  • Learning & Development stipend.

Hiring process

  • Recruiter phone interview.
  • Hiring manager Zoom interview, then team interview.
  • Final step: offer/hired.

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