Key skills
PythonSQLRMachine LearningStatistical AnalysisCommunicationCollaboration
About this role
Role Overview
- Develop and deploy data science and machine learning models
- Perform data preprocessing, transformation, and feature engineering
- Apply statistical analysis and exploratory data analysis techniques
- Optimize and tune models for performance
- Collaborate with teams to identify business requirements and develop data-driven solutions
- Conduct experiments and iterate on models to improve accuracy and efficiency
- Communicate technical findings and solutions to stakeholders
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Proven experience as a Data Science and Machine Learning Engineer (more than 5 years)
- Strong proficiency in Python, R, or other programming languages
- Deep understanding of machine learning techniques and algorithms
- Experience with statistical analysis and data visualization tools
- Proficiency in SQL and database systems
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Ability to work effectively in cross-functional teams
Tech Stack
- Python
- SQL
Benefits
- Base salary
- Major Medical Expenses Insurance (includes dental and vision plan)
- 15 days of Christmas bonus (aguinaldo)
- 25% vacation premium
- 12 vacation days (starting from the first year)