Data Scientist
Team: Technology DW
Location: Brazil, Lima, Santiago, Asuncion, Uruguay, Mexico, San José, Panama, Caracas, Sucre, Guatemala, Managua, Bogotá, puerto rico, Santo Domingo
Commitment: Data Science
Workplace Type: remote
Responsibilites:
- Production-Grade Modeling: Design, develop, and maintain reproducible
- machine learning models for production environments.
- Behavioral Forecasting: Build advanced models to predict user engagement
- patterns, including retention and activity frequency.
- Optimization & Causal Inference: Develop Uplift models to measure the
- incremental impact of business interventions.
- Recommendation Systems: Improve and scale next-best-action (NBA) engines
- to enhance personalized user experiences.
- Experimental Design: Lead the statistical design and analysis of A/B testing to
- validate model performance and business hypotheses.
Requirements
- Experience: 3+ years of professional experience in Data Science, with a deep understanding of Supervised/Unsupervised learning including Regression, Boosting, Clustering, and related frameworks.
- Python: Advanced use of Pandas, Numpy, and Scikit-learn for complex feature engineering, model selection, and pipeline optimization.
- SQL: Proficiency in querying and structuring data from large-scale databases.
- Visualization: Ability to leverage Tableau to communicate complex analytical results through interactive dashboards and data storytelling.
- Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).
What we offer:
- Remote work opportunity!
- B2B Employment ($, gross).
- Stable job with long-term growth perspective.
- Competitive salary with annual performance review.
- Really good hardware.
- An exciting and challenging job with talented people around.
- Continuous learning and career growth opportunities.
- Compensation for professional training, seminars, and conferences.
- Referral program – get rewarded for helping us grow the team with talented people.
- Company-supported English classes to enhance your professional growth.
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