Applied Data Scientist - Engineering AI & Simulation

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

Benefits offered by this job

Equity options

5% 401(k) match

Free team lunch 1x/week

Private health insurance

Enhanced parental leave

20 days Annual Leave (+ public hols)

Personal development

Gympass / Wellhub

Job summary

PhysicsX in Manhattan, NYC, is seeking a Data Scientist in Delivery to turn advanced AI models into practical tools for customers across industries. You will work on data preparation, modeling, and production-ready pipelines while collaborating closely with Simulation Engineers and customers on-site.

The role emphasizes ownership, open communication, and real-world impact, with travel to client sites 3–4 weeks per quarter and a hybrid work model combining office days in New York with remote

Qualifications

• Strong foundations in data driven modelling and deep learning.
• Proficiency in Python ecosystems (NumPy, SciPy, Pandas, TensorFlow, PyTorch).
• Experience deploying production-ready models and data pipelines.

Responsibilities

• Pre-process and analyze data for predictive modelling.
• Develop deep learning models with optimization methods for physical systems.
• Own the quality, accuracy and impact of work.
• Design, build and test scalable data pipelines for production.

Skills

Python

NumPy

SciPy

Pandas

TensorFlow

PyTorch

On-site work

Data modelling

Education

Masters or PhD preferred

Job description

PhysicsX in Manhattan, NYC, is seeking a Data Scientist in Delivery to turn advanced AI models into practical tools for customers across industries. You will work on data preparation, modeling, and production-ready pipelines while collaborating closely with Simulation Engineers and customers on-site.

The role emphasizes ownership, open communication, and real-world impact, with travel to client sites 3–4 weeks per quarter and a hybrid work model combining office days in New York with remote