Petroexcel Technology - Lead Data Scientist

About:

- 15+ years of experience in data science, machine learning, or advanced analytics, with a significant portion in the oil & gas or energy sector.

- Deep knowledge of upstream, midstream, or downstream operations and industry data sources.

- Strong proficiency in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with cloud platforms (AWS, Azure, Google Cloud) and big-data technologies.

- Expertise in advanced statistical modeling, optimization, deep learning, time-series analysis, and AI/ML deployment in production environments.

- Demonstrated success leading technical teams and delivering enterprise-scale analytics solutions.

- Advanced Analytics & Model Development

Architect and deliver advanced machine learning, deep learning, and statistical modeling solutions for:

- Production optimization

- Reservoir modeling & subsurface analysis

- Predictive maintenance for rotating equipment

- Drilling optimization & real-time operations

- Supply chain forecasting and optimization

- Energy trading analytics

- Oversee model life cycle management, including data acquisition, feature engineering, validation, deployment, and monitoring. Data Strategy & Engineering Collaboration

- Design robust data pipelines and analytics architectures in collaboration with data engineering and IT teams.

- Ensure scalable, high-quality data infrastructure supporting real-time and historical data (SCADA, sensors, seismic data, well logs, LWD/MWD, refinery data, etc.).

- Evaluate and implement emerging technologies (cloud, edge computing, digital twin platforms, generative AI for industry workflows).