NexTier's Completions Data Science team is looking to develop physics-driven models and reliability frameworks that predict equipment behavior and optimize maintenance strategies for their frac fleet.
Requirements
Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas
Expert programming skills in Python (SciPy, NumPy) for simulation and model development
Strong foundation in reliability engineering methods such as Weibull analysis, survival modeling and FMEA
Ability to manage multiple priorities and deliver results on time
3+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)
3+ years developing simulation code in Python
Experience integrating physics-based models with machine-learning frameworks such as TensorFlow or PyTorch
Responsibilities
Define and guide the development of physics-ML reliability models (Weibull analysis, survival modeling, FMEA)
Perform fluid-mechanics and mechanical simulations in Python or MATLAB and integrate outputs with telemetry streams
Architect, deploy and monitor model training and serving pipelines on GCP AI Platform or Dataiku
Establish validation protocols by coordinating with subject-matter experts to calibrate model assumptions
Partner with maintenance, operations and field teams to align modeling efforts with business needs and data availability
Identify new digital-twin use cases and build proof-of-concepts for early-warning systems and maintenance optimization
Present technical findings to operations leadership, maintenance planners and engineering management
Other
Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Physics or related field
5+ years of experience applying physics-based modeling or reliability engineering in industrial settings
Strong communication skills with the ability to explain complex models to non-technical stakeholders
Ability to work in a climate controlled / office environment with minimal safety / health hazard potential
Master's degree or higher in a quantitative engineering or physical science discipline
