Industrial Data Scientist

Job Description

Job description

This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.

• Apply data science methodologies to improve production, operations, and manufacturing processes.
• Develop and implement predictive models to enhance equipment reliability and reduce downtime.
• Analyze and optimize operational efficiency through data-driven insights.
• Develop, apply, and analyze physics-based or data-driven computational models.
• Utilize physics-based simulators to support operational decision-making.
• Collaborate with cross-functional teams to identify and solve complex operational problems.
• Communicate findings and recommendations to stakeholders through reports and presentations.
• Position could require 5-10% travel (domestic and/or international)

• Bachelors or Masters degree in Chemical Engineering, Chemistry, Mathematics, Computer Science, Civil, Electrical or Data Science from a recognized unviversity with GPA 7.0
• 3+ years of experience in a data science role, preferably in production, operations, or manufacturing environments.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with physics-based simulators and computational modeling.
• Knowledge of predictive maintenance techniques and tools.
• Expertise in Computer Vision, Natural Language Processing (NLP), Time Series analysis.
• Experience with AI techniques and tools for operational improvements.
• Experience with software engineering practices, agile methodologies, DevOps, version control
• Experience working in Azure Databricks or any other data science frameworks
• Proficiency in programming languages such as Python.
• Software testing and development practices (Agile)
• Prior experience in operations, oil & gas, wells, or subsurface domain applications is highly desirable.
• Strong understanding of statistical analysis and data visualization tools (e.g., Tableau, Power BI).

• Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence
• Proven track record of developing and implementing data-driven solutions to improve operational efficiency.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal.

• Cafeteria, Child care facility, Professional degree assistance, Health insurance