Lead Data Scientist

Solar Turbines

$128,470.00 - $192,710.00; not specified; subject ...
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Machine learning algorithms
Python with pandas, numpy, scipy
Sql for database access
** Solar Turbines is seeking a Lead Data Scientist to leverage machine learning and physics to enhance their AI and digital twin capabilities. The ideal candidate will possess a strong technical background in data science, engineering, and physics, along with excellent communication skills. **

Job Summary

  • Lead data mining, modeling, and analysis of time series data, event data and meta data to build anomaly detection models.
  • Apply machine learning and physics principles to create, explore and validate hybrid digital twin models using lumped parameter ODE models, PINNs and NeuralODEs.
  • Build compelling visualizations and present findings to stakeholders using tools like Quicksight or Plotly.

Matching Summary

Match Score: 75

** Solar Turbines is seeking a Lead Data Scientist to leverage machine learning and physics to enhance their AI and digital twin capabilities. The ideal candidate will possess a strong technical background in data science, engineering, and physics, along with excellent communication skills. **

Salary

$128,470.00 - $192,710.00; Not specified; Subject to plan eligibility, terms, and guidelines

Skills & Requirements

Must-have

  • Machine learning algorithms
  • Python with pandas, NumPy, SciPy
  • SQL for database access
  • Time series data analysis
  • Physics of heat transfer and fluid mechanics
  • Develop AI products

Nice-to-have

  • Physics-informed neural networks
  • Neural ordinary differential equations
  • Leverage LLMs for code creation
  • Control theory applications
  • Published technical papers

Key Requirements

  • Master of Science degree required
  • 2 years post-education experience
  • Many years of engineering analysis experience
  • Many years modeling physical systems
  • Visa sponsorship not available

Work Rights

Not specified

Tailored Resume

Cover Letter