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Responsibilities:

  • Develop, deploy, and maintain predictive models for lifetime value, churn, and retention across mobile apps and web products.
  • Own the modeling roadmap from problem framing through production and ongoing monitoring.
  • Design experiments and causal analyses that measure the true impact of product and marketing changes.

Requirements:

  • 5+ years of experience in data science, statistical modeling, or machine learning, ideally with consumer app or web data.
  • Strong Python (pandas, scikit-learn) and advanced SQL; experience deploying models to production.
  • Fluent English, at least 4 hours of overlap with US Eastern business hours, and daily use of AI tools like Claude.

Nice to Have:

  • Experience with ad-monetized or subscription consumer apps, recommendation systems, and personalization.
  • Familiarity with ML platforms on AWS or Google Cloud, MLOps tools, Bayesian methods, uplift modeling, or multi-armed bandits.

Compensation & Perks:

  • Salary range from $4,000 to $5,500 per month, depending on seniority and skillset.
  • Full-time remote contract through a payroll platform, working allocated at GoFasti's client.

GoFasti

GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.

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