Job summary
An experienced data scientist role focused on developing and deploying scalable data and AI solutions for industrial sectors including Oil and Gas, Manufacturing, and Power & Utilities. This position involves collaboration in cross-functional teams to translate complex industrial challenges into actionable, data-driven solutions using advanced machine learning and AI techniques.
Location and work setup
- Location
- Oslo
- Work setup
- On-site
Responsibilities
Lead the design and implementation of scalable data science solutions for industrial customer use cases. Facilitate workshops with subject matter experts to gather requirements and map problems to data. Perform data cleansing and exploratory analysis. Develop and deploy physical and machine learning models using Python. Apply generative AI to improve data-driven decision making. Build web applications integrated with the industrial data platform. Share best practices and contribute to solution templates. Collaborate with engineers, architects, and project managers to deliver projects. Support customers and partners in applying data science methods with the provided products.
Qualifications
Bachelor's or Master's degree in a quantitative or engineering field. Over 6 years of professional experience as a data scientist, preferably within related industries. Proficient with Python and SQL, and experience deploying Python solutions in production. Familiar with machine learning, statistics, and optimization techniques. Experience with Git and working directly with external customers. Knowledge of cloud platforms like GCP, Azure, or AWS is advantageous. Strong teamwork, self-driven work ethic, and mentoring capabilities. Preferred experience includes domain understanding of Oil and Gas industry and asset performance management concepts.