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