Data Scientist
AI summary of the role
Data Scientist on PhysicsX’s Delivery team, translating deep-learning and predictive models into production-ready tools for engineering and physics problems.
What you’ll do
- Analyze and preprocess data for predictive modeling
- Develop deep-learning models and optimization methods for physical systems
- Design, test, and deploy reliable scalable data pipelines
- Integrate data-science models with engineering simulations
What you’ll bring
- At least 1 year of industry experience after a Master’s or PhD
- Strong foundations in data-driven modeling and deep learning
- Hands-on experience with probabilistic methods and predictive modeling
- Expertise in Python and proficiency with NumPy, SciPy, Pandas, TensorFlow, and PyTorch
Technologies
Python · NumPy · SciPy · Pandas · TensorFlow · PyTorch · deep learning · predictive modeling · data pipelines
About PhysicsX
AI-native simulation software stack that replaces slow numerical physics with deep-learning surrogates for design, manufacturing, and operations in aerospace, automotive, semiconductors, energy, and materials.
Series B · 100–200 people
Employer postings · Data from · Sources