Cognite · 13 hours ago
Senior Data Scientist
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. As a Senior Data Scientist, you will work on challenging data problems, collaborating with cross-functional teams to configure, deploy, and operationalize digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing.
Artificial Intelligence (AI)Industrial AutomationInformation TechnologyMachine LearningSaaS
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 intensive use case generation workshops with Subject Matter Experts (SMEs) to understand the problem, industry domain knowledge, and how it maps to the data
Perform data cleansing and exploratory data analysis
Implement physical models / machine learning models in Python and deploy to our model hosting environment
Design and develop domain-specific information and data models
Apply GenAI techniques to enhance data-driven decision-making in customer use cases
Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash. Experience with React for bespoke UI development is a plus
Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape
Utilize and contribute to solution templates and best practices within the Data Science team
Mentoring and coaching junior team members is an important part of being a Senior at Cognite
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
Qualification
Required
Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering
5+ years of full-time work experience as a Senior Data Scientist (preferably within related industry), or Senior Data Scientist with domain expertise in Oil and Gas or Manufacturing
Proficient experience with Python and SQL
Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling
Experience with Git
Experience working customer-faced, with external customers
Understanding of solution architecture, system design, and deployment best practices in a cloud environment
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
Preferred
Experience with Python in a production setting is a plus
Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired
Experience with managed cloud services such as GCP, Azure or AWS is a plus
Strong domain knowledge or a good understanding of Industry and Asset Performance Management—covering areas like production optimization—is a big plus
Company
Cognite
Cognite develops an industrial IoT data platform that enables digital transformation of heavy-asset industries.
H1B Sponsorship
Cognite has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (4)
2023 (2)
2022 (2)
2021 (5)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$338.21MKey Investors
Saudi AramcoTCVAccel
2022-02-02Secondary Market· $113M
2021-05-19Series B· $150M
2020-10-27Series A· $75M
Leadership Team
Recent News
Business Wire
2026-01-13
Morningstar.com
2025-12-04
2025-12-02
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