Senior Data Scientist: Industrial AI for Energy

Cognite - AI for Industry; Abu Dhabi; On-site; AED 300,000 - 540,000; Full time

Job summary

Cognite - AI for Industry in Abu Dhabi is seeking a Senior Data Scientist to advance data-driven solutions for the Oil & Gas, Manufacturing, and Power & Utilities sectors. You will work with cross-functional teams to deploy scalable analytics and AI-powered insights, building dashboards and models that drive operational improvements.

The role requires 5+ years in data science, strong Python/SQL, and experience with cloud services.

Qualifications

• Master of Science in a quantitative field (engineering, data science, or similar).
• 5+ years of full-time data science experience, preferably in Energy/Oil & Gas, Maintenance or Manufacturing.
• Proficient Python and SQL; production experience is a plus.
• Experience with ML methods, statistics, and/or optimization.
• Experience with Git and cloud services (GCP/Azure/AWS) is a plus.
• Domain understanding of Oil & Gas and Asset Performance Management is highly valued.

Responsibilities

• Build and deploy data-driven solutions for Oil & Gas, Manufacturing and Power & Utilities sectors using Cognite core capabilities.
• Lead discovery workshops with clients and translate problems into data-driven solutions.
• Perform data cleansing, exploration, and feature engineering; implement ML models in Python.
• Develop dashboards using Grafana, Power BI, Plotly, or Dash to visualize results.
• Mentor junior team members and collaborate with data engineers, solution architects, and project managers.

Skills

Python

SQL

Git

Cloud platforms

ML methods

EDA

Education

Master of Science in a quantitative field

Tools

Grafana

Power BI

Plotly

Dash

Job description

Cognite - AI for Industry in Abu Dhabi is seeking a Senior Data Scientist to advance data-driven solutions for the Oil & Gas, Manufacturing, and Power & Utilities sectors. You will work with cross-functional teams to deploy scalable analytics and AI-powered insights, building dashboards and models that drive operational improvements.

The role requires 5+ years in data science, strong Python/SQL, and experience with cloud services.