Data Scientist Sr

Modalidad híbrida: Torre Mapfre CDMX

The role must have broad experience across the full data science lifecycle — from

ideation and development to deployment and monitoring. This position is ideal for

someone who combines strong technical ability with a deep understanding of

business drivers, and who is excited to translate complex problems into practical,

high-impact solutions.

This position will focus heavily on time series forecasting, optimization and

segmentation problems, supporting strategic decision-making through predictive

modeling, scenario planning, and data-driven insights.

Responsabilities:

•Collaborate with business stakeholders to identify opportunities where data

science can drive business value.

•Design and build end-to-end data science solutions — from data exploration

and model development to deployment and post-deployment monitoring.

•Interpret results and communicate insights clearly to both technical and non-

technical audiences.

•Work closely with engineering teams to productionize models and ensure

robust performance in live environments.

•Monitor and improve deployed models to maintain accuracy and relevance

over time.

•Stay current with best practices in modeling, tooling, and MLOps.

Requirements and skills:

Bachelor's degree in computer science, information systems or related field

Proven experience developing and deploying machine learning models in

production environments.

Experience with model lifecycle management including versioning, testing,

retraining, and monitoring.

English proficiency

Excellent communication and stakeholder management skills•

Solid skills in Python, SQL, and commonly used data science libraries

Experience with AWS

Familiarity with production tools and practices (e.g., MLflow, Docker, CI/CD

pipelines).

Prior experience in industries with a strong need for forecasting/optimization

(e.g., supply chain, retail, manufacturing, logistics).