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.
- 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)
- 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.
Skills Required
- Bachelor's or Master's degree in a quantitative field or mechanical, systems, electrical, or industrial engineering
- 6+ years of full-time experience as a data scientist
- Proficiency with Python and SQL
- Experience with machine learning methods and techniques, statistics, and/or optimization
- Experience with Git
- Experience working directly with external customers
- Experience with managed cloud services such as GCP, Azure, or AWS
- Oil and gas industry domain knowledge, particularly asset performance management and production optimization
- Ability to work in cross-functional teams
- Ability to deliver independently and coach or mentor others
Cognite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognite and has not been reviewed or approved by Cognite.
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Affordable Benefits — Healthcare premiums for employees and dependents are often fully covered, reducing out‑of‑pocket costs. Feedback suggests this makes the total rewards feel competitive in key markets.
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Parental & Family Support — Paid parental leave for primary and secondary caregivers is described as generous. This signals a family‑friendly approach that many consider a standout perk.
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Leave & Time Off Breadth — Unlimited PTO with a company‑wide year‑end shutdown offers ample time away from work. Flexible time‑off options are consistently highlighted across U.S. roles.
Cognite Insights
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies. We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis. We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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