Senior Data Scientist
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. Our Moonshot is bold: unlock $100B in customer value by 2035, and redefine how global industry works.
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
- 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
Why Cognite
You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.
Skills
As published by greenhouse · 6 questions
Basics
First Name, Last Name, Preferred First Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (2)
- LinkedIn Profile
- What is your annual salary expectation? (Please provide a number or range)
Pick from a list (4)
- Do you have a valid work permit in the EU?
- Do you require relocation support to join us in Norway?
- Our team operates with a hybrid work model which includes working from our Oslo office. Are you available and able to work from our Oslo office for 2-3 days per week?
- Country / Place of Residence
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