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 juniorsโ 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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