What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

About the role

As a Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalising digital solutions in sectors such as Oil & Gas, Power & Utilities, and Manufacturing.

Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles. The data science team is a part of the MENA delivery team in our global delivery organisation. We are a good mix of project managers, data scientists, data engineers and solution architects with domain expertise from oil and gas, power & utilities and manufacturing.

We are responsible for delivering successful projects that are flexible and scalable and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable.

The Impact you bring to Cognite

A typical day as a Cogniter will contain the following tasks & responsibilities:

• Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power & Utilities industries using Cognite’s core capabilities
• Participate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
• Perform data cleansing, exploratory data analysis and data modelling.
• Implement physical models / machine learning models in Python and deploy to our model hosting environment
• Work on an agentic AI solution to solve customers' use cases.
• Utilize and contribute to solution templates and best practices within the Data Science team
• Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform
• Support customers and partners in conducting data science tasks with Cognite products

We believe most of these should match your experience

• Bachelor of Technology/Engineering or Master of Science in a quantitative field or mechanical, computer science, electrical or similar.
• 4-6 years of work experience as a data scientist (preferably within related industry) or data scientist with domain expertise in Oil and Gas or Maintenance
• Proficient experience with Python and SQL. Experience with Python in a production setting is a plus
• Experience with machine learning methods and techniques, statistics and/or optimisation
• Must have experience with Agentic AI solutions.
• Experience with GIT
• Experience working customer-facing with external customers
• Experience with managed cloud services such as GCP, Azure or AWS is a plus
• Domain knowledge or a good understanding of the Oil and Gas industry is a plus.
• Enjoy working in cross-functional teams
• Able to deliver independently, coach and mentor others internally
• Enjoy challenges and dare to set ambitious goals that drive innovation
• Humility to ask for help and enjoy sharing knowledge with others