1172 - Senior Data Scientist

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Scientist, based in Latin America, available to work remotely.

Develop, deploy and maintain predictive models for lifetime value (LTV), churn and retention across mobile apps and web/browser products
Own the modeling roadmap for your area, from problem framing through production and ongoing monitoring
Build cohort and LTV models that inform user acquisition budgets and payback decisions
Build user segmentation and propensity models that support personalization and targeting
Improve model accuracy over time through validation, backtesting and new data sources
Design experiments and causal analyses that measure the true impact of product and marketing changes
Identify early behavioral signals that predict conversion, churn and long-term value
Apply LLMs and machine learning to classify unstructured text and behavioral signals into interest categories and product and brand intent
Partner with data engineering to productionize models and keep their inputs reliable
Build internal AI-powered analytics tools and data products
Explain model results, assumptions and confidence levels clearly to stakeholders and leadership
Set modeling standards, documentation and best practices for the team
Mentor other analysts and data scientists and share best practices across the team

5+ years of experience in data science, statistical modeling or machine learning, ideally with consumer app or web data
Strong Python (pandas, scikit-learn or similar) and advanced SQL
Experience deploying models to production and monitoring them over time
Solid grounding in statistics, forecasting and experimentation
Hands-on experience with LLM APIs, prompt design or building AI-powered data tools
Daily use of AI tools as a development partner, such as Claude, Claude Code or Claude Cowork
Sound judgment with incomplete or noisy data; you structure the problem before reaching for a tool
Strong communication skills, including turning complex analysis into clear business recommendations
Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)
Experience with ad-monetized or subscription consumer apps
Experience with recommendation systems, personalization or audience segmentation for ad targeting
Experience with ML platforms on AWS or Google Cloud, such as SageMaker or Vertex AI
Familiarity with MLOps and orchestration tools such as MLflow, Airflow or dbt
Familiarity with Bayesian methods, uplift modeling or multi-armed bandits