DATA SCIENTIST

Magotteaux; Monterrey; Híbrido; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid on-site work

Travel internationally

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Statistical analysis

Machine learning

Data storytelling

Experiment design

Educación

Bachelor's degree in quantitative field

Herramientas

Databricks

Power BI

Azure

Git/Azure DevOps

Excel

Descripción del empleo

Magotteaux is a world leader in the sale of products for the cement, mining and aggregates industries.

With more than 100 years of experience in the market, we have stood out for offering innovative and high-quality solutions to our clients.

Our company is proud to have a passionate and committed team, where we value the personal and professional growth of our collaborators.

Working at Magotteaux means being part of an internationally recognized company and having the opportunity to contribute to the development of the industry.

DATA SCIENTIST provide and develop secure, scalable, and high‑quality digital solutions (applications, data products, integrations, automations, and cloud platforms) that enable Magotteaux to make data‑driven decisions, automate processes, collaborate, and innovate efficiently across IT and OT domains and infuse AI across solutions—evangelizing safe, value‑driven adoption (e.g., Copilot, ML models, and AI agents) throughout the business.

Responsibilities

• Explore complex operational and business datasets and translate findings into actionable recommendations.
• Prepare and clean data, engineer features, and build and test statistical and machine learning models in Databricks.
• Independently retrieve, transform, and analyze large datasets from diverse sources using SQL, Python, and related tools.
• Design experiments and evaluate models for statistical validity, business relevance, and appropriate performance measures.
• Deploy, monitor, document, and retrain models using sound MLOps practices; identify and address model drift.
• Partner with domain experts, Data Analysts, and IT colleagues to translate business questions into analytical approaches.
• Communicate findings through clear narratives, presentations, visualizations, and Power BI reports when appropriate.
• Proactively identify opportunities where advanced analytics, optimization, machine learning, or AI can deliver measurable value.
• Create reusable notebooks, code, documentation, and working practices that support knowledge transfer, governance, security, and maintainability.
• Work with production, process and quality data from the plant alongside enterprise data sources.
• Spend time on the production floor with process, quality and maintenance engineers to frame problems, agree baselines and sanity-check results
• Validate models alongside the existing process before production release, in line with Group readiness and acceptance gates

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 5 years of experience as Data Scientist and in quantitative analytics or data modeling
• Experience in a manufacturing or industrial environment, and comfort interpreting production, process and quality data.
• Familiarity with time-series and sensor data and its practical issues — gaps, outliers, drift, counter resets and data-quality flags.
• Exposure to plant systems such as SCADA, MES or process historians (for example Ignition/Sepasoft, already referenced in the DSD job family)
• Applied statistics and hypothesis testing; supervised and unsupervised machine learning; feature engineering; model evaluation; data preparation and quality; SQL-based data retrieval; experimental design; data storytelling; responsible and secure use of data and AI.
• Strong hands-on Python and SQL.
• Practical experience with Databricks and common machine learning libraries.
• Ability to prepare data, engineer features, build and evaluate statistical and machine learning models.
• Ability to design experiments and select appropriate model performance measures.
• Ability to deploy, monitor, document, and retrain models using sound MLOps practices.
• Ability to create clear visualizations and reports; Power BI and Excel experience is useful.
• Familiarity with Azure, Git/Azure DevOps, model deployment, monitoring, and MLOps is preferred.

Special requirements

• Hybrid Work (primarily on-site)
• Ability to collaborate with global teams and travel internationally when required.
• Comfortable working in a plant environment alongside operators, maintenance and process engineers
• Valid Passport and ability to obtain required visas, included United States of America
• Fluent professional English, written and spoken, is required.

What do we offer

• Opportunities for professional growth and development.
• Supportive and inclusive work environment.