PhysicsX · 12 hours ago
Data Scientist
Manhattan, NY
Full-time
Hybrid
Entry Level
$120K/yr - $240K/yr
1+ years expPhysicsX is a deep-tech company dedicated to accelerating hardware innovation through AI-driven simulation software. The Data Scientist role focuses on creating practical solutions for engineering decisions, requiring strong foundations in data-driven modeling and deep learning techniques while collaborating closely with customers and engineering teams.
Artificial Intelligence (AI)SemiconductorSoftwareInformation TechnologyAI InfrastructureMachine LearningSimulation
Responsibilities
Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed
Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems
Taking full responsibility for the quality, accuracy and impact of your work
Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments
Working closely with simulation engineers to ensure seamless integration of data science models with simulations
Contributing to internal R&D and product development, helping to refine models and identify new areas of application
Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers
Qualification
Required
At least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment
Strong foundations in data driven modelling and deep learning techniques
Hands-on experience in probabilistic methods and predictive modelling
Expertise in python
Proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch
Ability to deploy scalable, production-ready models and data pipelines
Ability to pre-process and analyze data to prepare it for use in predictive modelling
Experience in developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods
Responsibility for the quality, accuracy and impact of work
Experience in designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments
Ability to work closely with simulation engineers to ensure seamless integration of data science models with simulations
Experience in contributing to internal R&D and product development
Ability to engage in open communication and presentation with both technical teams and customers
Willingness to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter
Benefits
Equity options – share in our success and growth.
5% 401(k) match – invest in your future.
Flexible working – balance your work and life in a way that works for you.
Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
Enhanced parental leave – support for life’s biggest milestones.
Private healthcare – comprehensive coverage for you and your family.
Personal development – access learning and training to help you grow.
Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
Company
PhysicsX
PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries.
51-200 employees
H1B Sponsorship
PhysicsX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$187MKey Investors
NVenturesAtomicoGeneral Catalyst
2025-11-19Series B· $20M
2025-06-22Series B· $135M
2023-11-27Series A· $32M
Leadership Team
Jacomo Corbo
CEO & Co-Founder
Recent News
Tech Funding News
2025-11-08
Company data provided by crunchbase