Manufacturing Data Scientist: AI, ML & Plant Analytics

Magotteaux; Monterrey; Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid on-site work

Travel internationally

Job summary

Magotteaux, a world leader in cement, mining and aggregates, seeks a Data Scientist to build secure, scalable data products and AI-enabled solutions across IT and OT domains.

You will explore complex data, engineer features, and deploy ML models using Databricks, Python, SQL, and Power BI, collaborating with Analysts and process engineers to drive value on the plant floor and in the cloud.

Qualifications

• Bachelor's degree or equivalent in statistics, math, CS or engineering.
• 5+ years as Data Scientist with quantitative analytics or data modeling.
• Experience in manufacturing or industrial settings.
• Familiarity with time-series and sensor data.
• Exposure to plant systems like SCADA or MES.
• Strong Python and SQL skills.
• Databricks and ML libraries experience.
• Ability to deploy and monitor ML models with MLOps.
• Clear storytelling with data; Power BI/Excel useful.

Responsibilities

• Explore complex datasets and translate findings into actionable recommendations.
• Prepare, clean, and engineer features; build and test ML models in Databricks.
• Retrieve, transform, and analyze large datasets from diverse sources using SQL and Python.
• Design experiments and evaluate models for validity and business relevance.
• Deploy, monitor, document, and retrain models with MLOps practices.
• Collaborate with domain experts and IT to translate questions into analysis.
• Communicate findings through narratives, visuals, and reports.

Skills

Python

SQL

Statistical analysis

Machine learning

Data storytelling

Experiment design

Education

Bachelor's degree in quantitative field

Tools

Databricks

Power BI

Azure

Git/Azure DevOps

Excel

Job description

Magotteaux, a world leader in cement, mining and aggregates, seeks a Data Scientist to build secure, scalable data products and AI-enabled solutions across IT and OT domains.

You will explore complex data, engineer features, and deploy ML models using Databricks, Python, SQL, and Power BI, collaborating with Analysts and process engineers to drive value on the plant floor and in the cloud.