Assistant Director Data Science- Colombia

Liberty Specialty Markets Latam; Colombia; Presencial; COP 180.000.000 - 240.000.000; Jornada completa

Descripción de la vacante

USDS Data Science Excellence in Colombia seeks an Assistant Director of Data Science to lead the design, evaluation, and deployment of advanced gradient-boosted models. You will drive end-to-end workflows, collaborate with infrastructure and design teams, and explore Earnix and related platforms.

The role requires PhD or Masters with 3+ years (or Bachelors with 5+ years) of relevant experience, strong Python skills, and excellent communication in English.

Formación

• Experience designing and evaluating gradient-boosted models.
• Strong coding in Python and data tooling.
• Ability to communicate complex results clearly.

Responsabilidades

• Design, develop, and scale gradient-boosted decision-tree models end-to-end: problem framing, data wrangling, exploratory data analysis (EDA), feature engineering, hyperparameter optimization, and model evaluation.
• Build and optimize large-scale training workflows (e.g., parallel/distributed training on AWS EMR or similar environments).
• Research and experiment with new modeling techniques for structured and unstructured data, and evaluate emerging ML tools and best practices.
• Own pioneering projects from research through proof of value and product ownership; identify and remove obstacles to deployment in partnership with infrastructure and design teams.
• Research, design, and assist with the implementation of models in Earnix and other platforms.
• Adopt a transformational mindset to improve and automate processes where applicable.
• Regularly engage with the data science community and participate in cross-functional working groups.

Conocimientos

GBDT

Python

LightGBM

Optuna

SHAP

Git

EDA

Earnix

Communication

Model deployment

Educación

PhD (quantitative)

Master's degree

Bachelor's degree

Herramientas

Earnix

AWS EMR

Descripción del empleo

Are you curious, resilient, independent, and always interested in learning and working on state-of-the-art modeling techniques, applying the best science to deliver business value? The USDS Data Science Excellence team is looking for an Assistant Director to research, design, and build major modeling innovations and pioneer model sophistication across our retail insurance products.

Key Responsibilities:

• Design, develop, and scale gradient-boosted decision-tree models end-to-end: problem framing, data wrangling, exploratory data analysis (EDA), feature engineering, hyperparameter optimization, and model evaluation.
• Build and optimize large-scale training workflows (e.g., parallel/distributed training on AWS EMR or similar environments).
• Research and experiment with new modeling techniques for structured and unstructured data, and evaluate emerging ML tools and best practices.
• Own pioneering projects from research through proof of value and product ownership; identify and remove obstacles to deployment in partnership with infrastructure and design teams.
• Research, design, and assist with the implementation of models in Earnix and other platforms.
• Adopt a transformational mindset to improve and automate processes where applicable.
• Regularly engage with the data science community and participate in cross-functional working groups.

Skills and Experience:

• Experience building gradient-boosted decision trees and performing model interrogation.
• Strong coding experience; fluent in object-oriented programming, Python, and common Python data and modeling packages (LightGBM, Optuna, SHAP).
• Good software practices: version control (Git), pre-commits, code reviews, documentation.
• Experience with EDA and data preparation for building gradient-boosted decision trees.
• Knowledge of Earnix or similar rating tools is a plus.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• A value-driven perspective on work context and impact.
• Demonstrated professional-level proficiency in English, with excellent written and verbal communication skills.
• Education and experience requirements:
• PhD (in a quantitative field) + 2+ years relevant experience, or
• Master's + 3+ years of relevant experience, or
• Bachelor's + 5+ years relevant experience.