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2 месяца назад

Senior Data Scientist (Growth & Retention)

160 000 - 185 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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

Senior Data Scientist (Growth & Retention): Developing and productionizing ML systems across the customer lifecycle—acquisition, activation, retention, and monetization—with an accent on predictive LTV, churn/survival analysis, and personalization. Focus on building end-to-end MLOps pipelines, implementing NBA/ranking models, and optimizing CAC vs LTV tradeoffs.

Location: New York, New York, United States

Salary: $160,000 — $185,000 USD

Company

A marketplace platform that connects chefs with customers to deliver high-quality, ready-to-eat meals nationwide.

What you will do

  • Build and maintain predictive LTV, churn (survival/time-to-event), and resurrection models to drive CRM and retention strategies.
  • Create lookalike and propensity models for paid channels to optimize CAC vs LTV tradeoffs.
  • Develop Next-Best-Action (NBA), ranking models, and embedding-based similarity systems to increase activation and orders.
  • Lead segmentation, clustering, and representation learning to create actionable customer cohorts.
  • Own the full MLOps lifecycle, including training pipelines, CI/CD, containerized deployment, and drift detection.
  • Translate technical modeling work into product recommendations and narratives for Growth and Marketing teams.

Requirements

  • 5-8+ years of experience in data science or applied ML with a track record of shipping production models.
  • Strong foundations in probability, inference, regression, survival analysis, and causal reasoning.
  • Hands-on experience building and deploying classification, regression, and ensemble models.
  • Proficiency in MLOps tooling: Docker, Airflow, Kubernetes/ECS, and model registries like MLFlow.
  • Advanced Python skills with pandas, scikit-learn, and XGBoost/LightGBM.
  • Must be based in New York, NY.

Nice to have

  • Experience in subscription marketplaces or food-tech.
  • Familiarity with Snowflake, BigQuery, or feature stores.
  • Experience with causal libraries (EconML) or uplift frameworks.
  • Prior work on small-scale recommender systems or NLP personalization.

Culture & Benefits

  • Comprehensive Health Insurance and 401k plan.
  • Unlimited PTO and a 4-week paid sabbatical every 5 years.
  • Paid family and compassionate leave.
  • Monthly hirify.global meal credits and wellness subsidies.
  • Access to a personalized Spanish coach.

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