Senior Data Scientist

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Develop, implement, and maintain predictive models for lifetime value (LTV), churn, and retention across mobile applications and web/browser platforms.

• Take ownership of the modeling roadmap from problem identification to production and continuous monitoring.

• Create cohort and LTV models that guide user acquisition budgets and payback strategies.

• Develop user segmentation and propensity models that enhance personalization and targeting efforts.

• Enhance model accuracy through validation, backtesting, and integration of new data sources.

• Design experiments and conduct causal analyses to assess the impact of product and marketing initiatives.

• Identify behavioral indicators that forecast conversion, churn, and long-term value.

• Utilize LLMs and machine learning to categorize unstructured text and behavioral indicators into interest categories, as well as product and brand intent.

• Collaborate with data engineering to deploy models and ensure reliable input data.

• Develop internal AI-driven analytics tools and data products.

• Communicate model outcomes, assumptions, and confidence levels to stakeholders and leadership effectively.

• Establish modeling standards, documentation, and best practices for the team.

• Mentor analysts and data scientists while sharing best practices throughout the team.

⛳️ Requirements

• 5+ years of experience in data science, statistical modeling, or machine learning, preferably with consumer app or web data.

• Proficient in Python (pandas, scikit-learn, or similar) and advanced SQL.

• Experience in deploying models to production and monitoring their performance over time.

• Strong foundation in statistics, forecasting, and experimentation methodologies.

• Practical experience with LLM APIs, prompt engineering, or developing AI-powered data tools.

• Regular use of AI tools as development partners, such as Claude, Claude Code, or Claude Cowork.

• Ability to exercise sound judgment with incomplete or noisy data; capable of structuring problems before utilizing a tool.

• Excellent communication skills, particularly in translating complex analyses into clear business recommendations.

• Fluent in English with at least 4 hours of overlap with US Eastern business hours.

• Experience with ad-supported or subscription-based consumer applications.

• Familiarity with recommendation systems, personalization, or audience segmentation for advertising purposes.

• Experience with ML platforms on AWS or Google Cloud, such as SageMaker or Vertex AI.

• Knowledge of MLOps and orchestration tools like MLflow, Airflow, or dbt.

• Understanding of Bayesian methods, uplift modeling, or multi-armed bandits.

🏝️ Benefits

• Full-time contract through a payroll platform.

• Remote work assigned at the client's discretion.

• Opportunity to collaborate with top-tier companies from around the globe.