Jefe de Ciencia de Datos e IA en Manufactura

Placements24; Nice; On-site; EUR 48,000 - 67,000; Full time

Job summary

Placements24 in Ciudad de Mexico, Mexico, is seeking a Sr. Data Scientist, Digital Manufacturing to lead enterprise‑scale data science initiatives in manufacturing environments. You will work with sensors, MES, ERP data to build predictive models, AI agents, and deployment pipelines across cloud platforms.

The role demands 5+ years of hands‑on experience, strong Python expertise, and the ability to translate complex analytics into actionable guidance for operations and IT teams.

Qualifications

• Bachelor’s degree in Computer Science or related; advanced degree preferred.
• 5+ years delivering enterprise‑level Data Science solutions.
• Experience deploying ML and AI in cloud environments (Databricks, AWS SageMaker).
• Ability to translate complex analytics into actionable insights.

Responsibilities

• Develop and operationally deploy advanced analytic solutions using data from MES, LIMS, CMMS, WMS, ERP.
• Collaborate with cross‑functional teams to design scalable data‑driven solutions and ensure data quality.
• Preprocess, clean, and manage large datasets for model input and inference.
• Design, build, and deploy AI‑powered applications and agents; implement RAG.
• Monitor models for performance, ROI, and production readiness.

Skills

Python

Machine Learning

Generative AI

Databricks

AWS SageMaker

Databases

Cloud ML/AI ops

Data Visualization

Communication

Education

Bachelor's in Computer Science or related

Advanced degree preferred

Tools

Databricks

AWS SageMaker

OPC-UA

MQTT

ERP

MES

LIMS

CMMS

WMS

Job description

Placements24 in Ciudad de Mexico, Mexico, is seeking a Sr. Data Scientist, Digital Manufacturing to lead enterprise‑scale data science initiatives in manufacturing environments. You will work with sensors, MES, ERP data to build predictive models, AI agents, and deployment pipelines across cloud platforms.

The role demands 5+ years of hands‑on experience, strong Python expertise, and the ability to translate complex analytics into actionable guidance for operations and IT teams.