Jobs · Engineering · Texas

Senior Data Scientist

Patterson-UTI · Houston, TX · 6 days ago
EngineeringFull-time

About the role

Patterson-UTI's Data Science and Analytics team turns rig data into better drilling. We partner primarily with the Drilling Automation team to design, test, and refine new automation technology, using analytics, machine learning, and artificial intelligence to make drilling safer and more efficient.

As a Senior Data Scientist, you'll own analytics projects from first stakeholder conversation to final presentation, mentor junior teammates, occasionally spend time on rigs to test new technology or understand the operations behind the data.

Projects You May Work On Include:

  • Modeling greenhouse gas emissions across the rig fleet to reduce environmental impact and improve reporting
  • Designing drilling advisory systems that improve efficiency
  • Building automated monitoring, detection, and alerting for operational events
  • Developing models that predict downhole and surface equipment failures

This is an individual contributor role reporting to the Senior Manager, Data Science. We're looking for someone who is technically strong in Python and time-series analysis, comfortable explaining complex methods to non-technical audiences, and excited to work alongside the people who run the rigs. This is an applied research role with impact on real world operations.

Responsibilities

  • Mentor and coach other data scientists and analysts
  • Execute as an individual contributor multiple analytics projects of varying complexity and data sources (~1 week to ~3 months; time series and relational databases)
  • Become the subject matter expert on projects, including visiting rigs to gain a deeper understanding of drilling rig operations.
  • Maintain standards on code quality and code management
  • Be the focal point for analytics: work and communicate with multiple stakeholders, understand project requirements, and deliver analytics solutions that add business value
  • Assist with developing and improving our suite of data analytics applications and visualizations, including developing requirements and working with developers
  • Independently manage

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