Industrial AI Data Scientist — Solve Industrial Challenges

Cognite; Mexico; On-site; MXN 600,000 - 900,000; Full time

Job summary

Cognite in Mexico City is seeking a Data Scientist to build and deploy data-driven solutions across multiple industries. You will work with data scientists, data engineers, architects and project managers to address client challenges using physics models and ML, plus visualization dashboards.

You will collaborate with customers to define outcomes, perform discovery, and deploy solutions leveraging Cognite Data Fusion. A strong background in Python, ML, and data analytics is essential.

Qualifications

• Fully bilingual in English and Spanish required.
• 2+ years industry experience in oil & gas or manufacturing domains building analytical solutions.
• Bachelor’s degree in a quantitative field (CS, Engineering, Data Science, etc.).

Responsibilities

• Develop and deploy scalable solutions for customer use cases across Oil & Gas, Energy, Manufacturing, Pharma, Life-Sciences, Power & Utilities.
• Participate in workshops to understand problems and map them to data.
• Perform data cleansing and exploratory data analysis.
• Implement physical models / machine learning models in Python and deploy to model hosting environment.
• Apply GenAI techniques to enhance data-driven decision-making.
• Develop web apps on Cognite Data Fusion with AI agents.

Skills

Python

SQL

Git

Machine Learning

Data Visualization

Cross-functional teamwork

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related quantitative field

Tools

Claude Code

Cursor

Job description

Cognite in Mexico City is seeking a Data Scientist to build and deploy data-driven solutions across multiple industries. You will work with data scientists, data engineers, architects and project managers to address client challenges using physics models and ML, plus visualization dashboards.

You will collaborate with customers to define outcomes, perform discovery, and deploy solutions leveraging Cognite Data Fusion. A strong background in Python, ML, and data analytics is essential.