Data Scientist at Cognite working on impactful data-driven solutions for industrial sectors. Collaborating with cross-functional teams to implement and operationalize digital solutions in Oil and Gas, Utilities, and Manufacturing.
Responsibilities
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 (SMEs) to understand the problem, industry domain knowledge, 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.
Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash. Experience with React for bespoke UI development is a plus.
Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape.
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.
Requirements
Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering.
2+ years of full-time work experience as a data scientist (preferably 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 optimization as well as physics based modeling.
Experience with Git.
Experience working customer-faced, with external customers.
Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired.
Understanding of solution architecture, system design, and deployment best practices in a cloud environment.
Experience with managed cloud services such as GCP, Azure or AWS is a plus.
Strong domain knowledge or a good understanding of Industry and Asset Performance Management—covering areas like production optimization—is a big plus. (As key CDF advisors, we want our 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 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.
Benefits
Competitive compensation
401(k) with employer matching
Competitive health, dental, vision & disability coverages for employees and all dependents
Unlimited PTO
Paid Parental Leave Program
Employee Referral Program
Join a team of 60+ different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
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