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Mid-level metro Data Scientist role with popular title, generalist skills and broad requirements.
Strong ML skills are transferable but industrial domain preference makes fit moderately sensitive.
Explicit 4–6 years plus mandatory agentic AI, production ML and cloud/Git experience increases filter strictness.
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Develop and deploy scalable data science solutions for Oil & Gas, Manufacturing, and Power & Utilities industries using Cognite’s core capabilities.
Lead discovery workshops with clients to understand outcomes, engage cross-functional teams, and operationalize AI and machine learning models in Python.
Collaborate with data engineers, solution architects, and project managers to deliver industrial data-driven projects that enable operational improvements.
Bachelor’s or Master’s degree in a quantitative, engineering, or related field.
4-6 years of work experience as a data scientist, preferably with domain expertise in Oil & Gas or Maintenance.
Proficient in Python and SQL; experience with production Python and Agentic AI solutions mandatory.
Experience working in customer-facing roles and collaborative project environments.
Experienced in applying machine learning, statistical, and optimization techniques within heavy industry domains, especially Oil & Gas.
Demonstrates ability to independently deliver projects as well as mentor others and contribute to team best practices.
Comfortable working in cross-functional, client-facing teams to translate complex industrial problems into data-driven solutions.