Data Scientist, AI for Multiphysics Engineering Simulations

PhysicsX Ltd.; New York, Northern (NY, KY); Hybrid; USD 120,000 - 240,000; Full time

Benefits offered by this job

Equity options

401(k) contributions

Free team lunch

Private health insurance

Enhanced parental leave

Annual leave

Job summary

PhysicsX Ltd. in New York City is seeking a Data Scientist in Delivery to convert cutting-edge AI models into practical engineering tools for customers, including on-site work. You will collaborate with simulation and ML engineers to build production-ready data pipelines and predictive models.

You’ll travel to customer sites across North America, Europe, and Asia, with a hybrid office presence in Manhattan, NYC. The role offers growth opportunities as individual contributor or technical lead.

Qualifications

• Strong foundations in data-driven modelling and deep learning techniques.
• Hands-on experience with probabilistic methods and predictive modelling.
• Proficiency in Python and libraries such as NumPy, SciPy, Pandas, TensorFlow and PyTorch.

Responsibilities

• Pre-process and analyze data for predictive modelling and ML development.
• Develop and deploy deep learning models with scalable data pipelines.
• Ensure quality, accuracy, and impact of your work.

Skills

Python

Deep learning

Probabilistic modelling

Data-driven modelling

NumPy

SciPy

Pandas

TensorFlow

PyTorch

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

NumPy

SciPy

Pandas

Job description

PhysicsX Ltd. in New York City is seeking a Data Scientist in Delivery to convert cutting-edge AI models into practical engineering tools for customers, including on-site work. You will collaborate with simulation and ML engineers to build production-ready data pipelines and predictive models.

You’ll travel to customer sites across North America, Europe, and Asia, with a hybrid office presence in Manhattan, NYC. The role offers growth opportunities as individual contributor or technical lead.