Senior Data Scientist

As a Senior Data Scientist you are responsible for the following, but not limited to

• 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
• Design and develop domain specific information and data models
• 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

We believe most of these should match your experience

• Bachelor/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 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


Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.