Full-Time

Data Scientist

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

51-200 employees

AI-enhanced physics simulations for industries

AI & Machine Learning
Energy
Aerospace

Mid

New York, NY, USA

Required Skills
Python
Airflow
Data Science
Pandas
NumPy
Autodesk CFD
Requirements
  • Degree in computer science, machine learning, applied statistics, mathematics, physics, engineering or a related field
  • Experience in building machine learning models and pipelines in Python using common libraries and frameworks like NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow
  • Knowledge of software engineering concepts and best practices for collaborative programming
  • Experience working in a cloud environment with major cloud providers
  • Experience with simulations for FEA/CFD (preferred)
Responsibilities
  • Work closely with simulation engineers, machine learning engineers, and customers to understand physics and engineering challenges
  • Build innovative models using machine learning and deep learning techniques
  • Own the delivery of data science workstreams
  • Design, build, and test data pipelines for machine learning
  • Discuss results and implications with colleagues and customers
  • Contribute to internal R&D and product work

PhysicsX is a deep-tech company utilizing AI and machine learning to accelerate physics simulations for advanced industries, with a focus on Space, Aerospace, Medical Devices, and Renewables. Their technologies aim to optimize physical design and engineering processes, positively impacting product performance and reducing CO2 emissions.

Company Stage

Series A

Total Funding

$32M

Headquarters

London, United Kingdom

Founded

N/A

Growth & Insights
Headcount

6 month growth

64%

1 year growth

184%

2 year growth

516%