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Important Information

Location: Peru, Colombia, Costa Rica, Bolivia

Work Mode: Remote

Job Summary

Responsibilities and Duties
- Build and refine supervised and unsupervised models across multiple domains (ex., booked vs. blocked detection, pricing models, demand forecasting).
- Explore and clean data from varied sources, ensuring completeness and fitness for modeling.
- Engineer features from time-series, tabular, and event-based data.

Qualifications and Skills
- Bachelor's degree in computer science, software engineering, or a related field.
- Professional/ Advanced English skills.
- Have 3 to 6 years of experience in applied data science and/or machine learning.
- Possess strong Python skills and are comfortable working in Jupyter, Pandas, NumPy, and Scikit-learn. Familiarity with TensorFlow or PyTorch is a plus.
- Are well-versed in statistical validation techniques and experiment design.
- Have experience with real-world messy data - and care deeply about data cleanliness and reproducibility.




- Have built and deployed models in production environments, ideally using batch or API-based deployment patterns.
- Have deployed ML models into production, and are comfortable thinking about stability, observability, and model lifecycle.
- Communicate clearly and are comfortable working asynchronously across teams and time zones.

About Encora

Encora is a general company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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