Data Scientist

PhysicsX • New York, NY

23d • $120,000 - $240,000 • Hybrid

About The Position

PhysicsX is the physics AI company for industrials, aiming to accelerate hardware innovation by overhauling industrial engineering and manufacturing through a new simulation software stack. The company partners with leading organizations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables. As a Data Scientist in Delivery, you will be a problem solver and builder focused on creating practical solutions that enable customers to make better engineering decisions. This role requires grasping advanced engineering concepts across multiple industries and working directly with customers, often on-site, to transform cutting-edge AI models into useful and used tools. You should have experience with data-driven modeling, deep learning techniques, probabilistic methods, and predictive modeling, with essential expertise in Python and libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch. The ability to deploy scalable, production-ready models and data pipelines is also crucial. This position requires at least 1 year of industry experience (post Masters or PhD) in a commercial, non-research environment. You should be excited about growing your technical expertise, taking ownership of data science work streams, and continuously improving systems and solutions to ensure they are practical, impactful, and meet evolving customer needs. This role may require access to information protected under U.S. export control laws and regulations.

Requirements

• Strong foundations in data-driven modeling and deep learning techniques.
• Hands-on experience in probabilistic methods and predictive modeling.
• Expertise in Python.
• Proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch.
• Ability to deploy scalable, production-ready models and data pipelines.
• At least 1 year of industry experience (post Masters or PhD) in a commercial, non-research environment.
• Ability to grasp advanced engineering concepts across multiple industries.
• Willingness to work directly with customers, often on-site.

Nice To Haves

• Experience with state-of-the-art optimization methods.
• Experience in building reliable, scalable, and easily deployable data pipelines.
• Experience in seamless integration of data science models with simulations.
• Experience in contributing to internal R&D and product development.
• Experience in open communication and presentation with technical teams and customers.
• Experience in onboarding users and co-developing with customers.

Responsibilities

• Work closely with Simulation Engineers, Machine Learning Engineers, and customers to understand and define engineering and physics challenges.
• Pre-process and analyze data to prepare it for use in predictive modeling, building the foundation for machine learning algorithms.
• Develop and utilize innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behavior of physical systems.
• Take full responsibility for the quality, accuracy, and impact of your work.
• Design, build, and test data pipelines that are reliable, scalable, and easily deployable in production environments.
• Work closely with simulation engineers to ensure seamless integration of data science models with simulations.
• Contribute to internal R&D and product development, helping to refine models and identify new areas of application.
• Engage in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, collaborating closely with customers to build solutions on-site.

Benefits

• Equity options
• 5% contribution to 401(k)
• Free team lunch 1x/week
• Private health insurance
• Enhanced parental leave (3 months full pay paternity and 6 months full pay maternity leave)
• 20 days of Annual Leave (+ Public Holidays)
• Personal development support
• Gympass / Wellhub (subsidized)
• Flexible Spending Account (FSA)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior