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Python
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Machine Learning
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.