Solar Turbines · 7 hours ago
Lead Data Scientist
San Diego, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$128K/yr - $193K/yr
4+ years expSolar Turbines is a part of Caterpillar Inc., a global team focused on innovation and sustainability. They are seeking a Lead Data Scientist to drive smarter decisions through data science, applying advanced machine learning and physics methods to develop core AI products that enhance reliability and performance for customers.
EnergyManufacturingOil and Gas
No H1B
U.S. Citizen Only
Responsibilities
Lead data mining, modeling, and analysis of time series data, event data and meta data to build anomaly detection models to be used within InSight Platform
Apply machine learning and physics principles to create, explore and validate hybrid digital twin models using lumped parameter ODE models, PINNs and NeuralODEs to approximate PDE model outputs
Design and optimize algorithms to improve accuracy, numerical performance, and scalability
Build compelling visualizations and present findings to stakeholders using tools like Quicksight or Plotly
Collaborate across teams and business segments to define analytical requirements and deliver actionable solutions related to InSight Platform’s digital twin strategy
Work with stakeholders, SMEs and customers to develop project plans and execution schedules
Qualification
Required
Master of Science (MS) in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Physics is required
Experience applying ML algorithms and techniques to solve both physics and/or business problems
Proficient in Python, with knowledge of libraries like pandas, NumPy, SciPy, Scikit-learn, PyTorch, and SpaCy
Solid understanding of hypothesis testing, and predictive modeling
Able to validate models using standard statistical measures and interpret results
Solid understanding of the physics of 1D heat transfer and fluid mechanics
Ability to write SQL statements for database access using SQL Alchemy and CX Oracle
Able to write and optimize queries across multiple tables and schemas
Comfortable developing scripts and tools to automate digital twin workflows
Ability to use LLMs for code creation but familiar with structured programming practices and debugging techniques
Excellent communication and visualization skills
Above average problem-solving and critical thinking
Ability to take loosely defined requirements or statements of value and turn them into a structured problem that can be solved mathematically
Capable of comparing alternative solutions and making optimal decisions
Preferred
PhD preferred
At least 2 years of experience post education in mechanical engineering roles
Many years of experience in engineering analysis, including structural, thermal, fluid, and/or performance calculations for the purposes modeling and simulation
Many years of experience modeling physical systems starting with first principles equations and implementing ODEs or PDEs in Matlab, Python or similar programming languages
Some experience with control theory and applications to dynamic systems and industrial machines
Published technical papers at conferences or journals in the engineering and/or physics fields
Benefits
Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
These benefits also apply to part-time employees
Company
Solar Turbines
Solar Turbines Incorporated, a subsidiary of Caterpillar Inc., is one of the world’s leading manufacturers of industrial gas turbines.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
unknown1981-05-15Acquired
Leadership Team
R
Robert May
Chief Financial Officer
B
Bryan Ross
COO
Recent News
2025-11-19
Company data provided by crunchbase