How you’ll demonstrate Ownership

The Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Senior 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.

The 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