Industrial AI Data Scientist — ML & GenAI Lead

Greenhouse Software, Inc.; Oslo; On-site; NOK 900,000 - 1,300,000; Full time

Benefits offered by this job

DEI culture

On-site gym

Private health services

Canteen lunch

Coffee bar

Job summary

Cognite is seeking a Data Scientist to tackle challenging data problems alongside industry leaders. You will work in cross-functional teams with data engineers, solution architects, and project managers to deploy digital solutions in Oil & Gas, Energy, Power & Utilities, and Manufacturing.

You will design, implement, and productionize ML models in Python, apply GenAI techniques, and develop Cognite Data Fusion-based web apps. Collaboration and independence are encouraged.

Qualifications

• 6+ years of full-time data scientist experience.
• Proficient Python and SQL; production experience is a plus.
• Experience with ML methods, statistics, and optimization.

Responsibilities

• Lead design and development of scalable data solutions for customer use cases in Oil & Gas, Manufacturing, and Power & Utilities.
• Lead workshops with subject matter experts to map problems to data.
• Perform data cleansing and exploratory analysis.
• Design and deploy ML models in Python to production hosting environments.
• Apply GenAI techniques to enhance data-driven decision making.
• Develop web apps on Cognite Data Fusion with AI agents.
• Collaborate with data engineers, project managers, and solution architects on deliveries.

Skills

Python

SQL

Git

Cloud services

Education

Bachelor/Master in quantitative field or engineering

Tools

Pandas/NumPy

Job description

Cognite is seeking a Data Scientist to tackle challenging data problems alongside industry leaders. You will work in cross-functional teams with data engineers, solution architects, and project managers to deploy digital solutions in Oil & Gas, Energy, Power & Utilities, and Manufacturing.

You will design, implement, and productionize ML models in Python, apply GenAI techniques, and develop Cognite Data Fusion-based web apps. Collaboration and independence are encouraged.