Develop and deploy scalable solutions for Oil & Gas, Manufacturing, and Power & Utilities.
Participate in workshops with subject matter experts to map problems to data.
Perform data cleansing and exploratory data analysis.
Implement physical models and ML models in Python and deploy to hosting.
Apply GenAI techniques to enhance data-driven decision making.
Build dashboards in Grafana, Power BI, Plotly or Dash.

🎯 Requirements

Master of Science in a quantitative field (e.g., engineering).
5+ years data science experience; Energy/O&G or Manufacturing domain.
Proficient Python and SQL; production Python is a plus.
ML methods, statistics and/or optimization experience.
Cloud services experience (GCP, Azure, AWS) is a plus.
Customer-facing experience and ability to work with external clients.

🎁 Benefits

Equal opportunity employer.

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