Senior Data Scientist
Norway (Oslo)
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor or Master of Science in a quantitative field or mechanical - , systems - , electrical - or industrial engineering
- Experience working customer faced, with external customers
- 6+ years of full-time work experience as a data scientist (preferably within related industry)
- Proficient experience with Python and SQL.
- Experience with machine learning methods and techniques, statistics and/or optimization
Preferred experience
- Experience with Python in a production setting is a plus
- Experience with managed cloud services such as GCP, Azure or AWS is a plus
Qualification wording
Bachelor or Master of Science in a quantitative field or mechanical - , systems - , electrical - or industrial engineering
Experience working customer faced, with external customers
6+ years of full-time work experience as a data scientist (preferably within related industry)
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 optimization
Experience with managed cloud services such as GCP, Azure or AWS is a plus
Education & alternatives
Required Qualifications - Bachelor or Master of Science in a quantitative field or mechanical - , systems - , electrical - or industrial engineering - 6+ years of full-time work experience as a data scientist (preferably within related industry)
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Google Cloud (GCP)
Source — Tool mentions in context
- Perform data cleansing and exploratory data analysis - Design and lead implementation of physical models / machine learning models in Python and deploy to our model hosting environment - Apply GenAI techniques to enhance data-driven decision-making in customer use cases
- 6+ years of full-time work experience as a data scientist (preferably within related industry) - 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 optimization
- Experience working customer faced, with external customers - Experience with managed cloud services such as GCP, Azure or AWS is a plus - Enjoy working in cross-functional teams
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 4, 2026 · 11d ago
- Recorded sightings
- 6
- Last seen by us
- Oct 15, 2026
- Employer says posted
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
How you’ll demonstrate Ownership
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 operationalizing digital solutions in sectors such as Oil and Gas, Energy, Power & Utilities, Manufacturing.
The Impact you bring to Cognite
- Lead the design and development of scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power & Utilities industries using Cognite’s core capabilities. Take ownership of design and execution
- Lead intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
- Perform data cleansing and exploratory data analysis
- Design and lead implementation of physical models / machine learning models in Python and deploy to our model hosting environment
- Apply GenAI techniques to enhance data-driven decision-making in customer use cases
- Develop web applications built on Cognite Data Fusion with the help of AI agents
- 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
Required Qualifications
- Bachelor or Master of Science in a quantitative field or mechanical - , systems - , electrical - or industrial engineering
- 6+ years of full-time work experience as a data scientist (preferably within related industry)
- 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 optimization
- Experience with Git
- Experience working customer faced, with external customers
- Experience with managed cloud services such as GCP, Azure or AWS 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
Preferred Experience
- Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management - covering i.e. production optimization is a big plus. (As key CDF advisors, we want our Data Scientist to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to i.e. production optimization)
A snapshot of our many perks and benefits as a Cogniter
* Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
* Flat structure with direct access to decision-makers
* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
* Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
* Get access to private health services with Cognite Care.
* Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
* Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
* We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
* A pet lover? Get the chance to meet Spot at the Robot Garden!
Learn more about us
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Norway (Oslo)
* Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. * We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site. * A pet lover? Get the chance to meet Spot at the Robot Garden!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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