Senior Data Scientist

Overview

The

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, Power & Utilities, and Manufacturing.
• Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.
• 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 to understand the problem 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
• Apply GenAI techniques to enhance data-driven decision-making in customer use cases
• Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions
• 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.

Impact

• you bring to Cognite
• Master of Science in a quantitative field or mechanical - , systems - electrical - or industrial engineering
• 5+ years of full-time work experience as a data scientist (prefarbly within related industry), or data scientist with domain expertise in Energy & Oil and Gas or Maintenance or Manufacturing
• 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 optimisation
• Experience with Git
• Experience working customer faced, with external customers
• Experience with managed cloud services such as GCP, Azure or AWS is a plus
• 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 out 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)
• 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

Learn More About Us

• 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.
• ***Equal Opportunity***
• *Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer.
• All qualified applicants will receive the same level of consideration for employment.*