Data scientist senior

Requirements
Must have:
• Experience building predictive models using large datasets
• Experience creating composed ML models suitable for low-data scenarios
• Ability to identify and select relevant input and output variables
• Proficiency in Python and libraries such as Pandas, NumPy, scikit-learn, etc.
• Experience with PyTorch or TensorFlow
• Strong SQL skills
• Familiarity with Jupyter Notebooks
• Experience handling and processing large volumes of data
• Experience working in AWS environments
• Ability to gather, cleanse, and format data effectively
• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively in agile environments
Nice to have:
• Experience with model optimization and performance tuning
• Familiarity with MLOps practices and deployment pipelines
• Exposure to cloud-native ML tools and services
Responsibilities
• Build predictive models using large and complex datasets
• Design and implement composed models tailored to low-data environments
• Identify and define input and output variables for modeling
• Gather, clean, and format data from various sources
• Use Python, SQL, and ML frameworks to develop and test models
• Work within AWS to manage data workflows and model deployment
• Document processes and collaborate with cross-functional teams
• Continuously improve model accuracy and performance
• Participate in agile ceremonies and contribute to team goals
Required Languages
• English: Advanced (80–95%)
Location
• Colombia – Remote

Profesional Senior

Universitaria

Ingeniería de sistemas Computación

2 años de experiencia

1 Vacante