Who You Are
- 3+ years industry experience (or an academic background) in the oil and gas, manufacturing or Power & Utilities domain building analytical solutions (data-driven and/or simulations) for production optimization and predictive maintenance, such as general well monitoring, well event predictions (risk identification), production planning, flow assurance, etc.
- 1+ years experience serving as a domain expert on internal or customer projects
- Proficient with Python and its data ecosystem (pandas, numpy), ML libraries (scikit-learn, keras, etc)
- Experience in data visualization using PowerBI, Grafana, Tableau, or web development frameworks like Plotly Dash, Streamlit, etc.
- Promoting good software development practices including automated tests and documentation
- Experience with Version control (git, for example)
- Experience contributing code to a large software project
- Pragmatic, can balance short term and long term tradeoffs
- Realistic and credible advisor on machine learning
- Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer.
- Mentoring and quality assurance of juniors’ work
- Cloud experience, such as building streaming calculations & models as serverless functions
- Deployment to production using provided infrastructure practices
- A track record of working in diverse industries
- Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers
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What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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