Data Scientist
PhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Data Scientist role involves solving engineering challenges by developing predictive models and data pipelines, while collaborating closely with customers and technical teams.
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
- There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you’ll collaborate closely with customers to build solutions on site
Skills
- 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
- Ability to take full 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 Overview
Company H1B Sponsorship