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Hoy
Data scientist
$55,000 - $63,000 Mensual
Sobre el empleo
Detalles
Contratación:
PermanenteHorario:
Tiempo completoEspacio de trabajo:
HíbridoDescripción
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).
ID: 20572721