Senior Data Scientist - Industrial AI & DataOps Leader

Cognite; Oslo fylke; On-site; NOK 900,000 - 1,300,000; Full time

Benefits offered by this job

Diversity and inclusion focus

Private health services

Canteen lunch

Coffee bar on-site

On-site gym access

HUB for Cogniters & partners

Job summary

Cognite is seeking a Data Scientist to tackle challenging data problems alongside leaders in Oil & Gas, Energy, and Manufacturing. You will configure, deploy, and operationalize digital solutions within cross-functional teams and help map business problems to data-driven outcomes.

You will design scalable models in Python, perform data cleansing and exploratory analysis, apply GenAI techniques, and collaborate with data engineers and project managers to deliver impactful industrial data

Qualifications

• 6+ years as a data scientist in related industries.
• Strong Python and SQL, production experience preferred.
• Experience with ML methods, statistics, and optimization.
• Experience with Git and cloud services (GCP/AWS/Azure).
• Able to work in cross-functional, customer-facing roles.

Responsibilities

• Lead design and development of scalable data-science solutions for customer use cases in Oil & Gas, Manufacturing, and Power & Utilities; take ownership of design and execution.
• Lead intensive use-case workshops with subject matter experts to map problems to data.
• Perform data cleansing and exploratory data analysis.
• Design and deploy ML models in Python and host them in the model hosting environment.
• Apply GenAI techniques to enhance data-driven decision-making.
• Collaborate with data engineers, project managers, and solution architects to deliver customer outcomes.

Skills

Python

SQL

Machine learning

Cross-functional teamwork

Customer-facing

Independent delivery

Mentoring

Education

Bachelor's or Master's in data science/engineering

Tools

GCP

Azure

AWS

Git

Job description

Cognite is seeking a Data Scientist to tackle challenging data problems alongside leaders in Oil & Gas, Energy, and Manufacturing. You will configure, deploy, and operationalize digital solutions within cross-functional teams and help map business problems to data-driven outcomes.

You will design scalable models in Python, perform data cleansing and exploratory analysis, apply GenAI techniques, and collaborate with data engineers and project managers to deliver impactful industrial data