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Data Scientist – Digital Oilfield Systems

Full time

Job Description

We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.

Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.

  • Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.
  • Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.
  • Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.
  • Design meaningful visualizations and dashboards to communicate model outputs clearly.
  • Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.
data wrangling skills Proficient in Python SQL fluency statistical technical

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