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About the Role
As a Data Scientist in Delivery, you will be a problem solver and builder passionate about creating practical solutions that enable customers to make better engineering decisions. You will grasp advanced engineering concepts across multiple industries and excel at working directly with customers to transform cutting-edge AI models into useful and used tools.
Responsibilities
- Work closely with Simulation Engineers, Machine Learning Engineers, and customers to understand and define engineering and physics challenges.
- Pre-process and analyze data for predictive modeling and machine learning algorithms.
- Develop and utilize deep learning models and optimization methods to predict and control physical system behavior.
- Take full responsibility for the quality, accuracy, and impact of your work.
- Design, build, and test reliable, scalable, and deployable data pipelines.
- Collaborate with simulation engineers for seamless integration of data science models with simulations.
- Contribute to internal R&D and product development.
- Engage in open communication and presentation with technical teams and customers.
- Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3-4 weeks per quarter to build solutions on-site.
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.
- Willingness to travel to customer sites.
- May require access to information protected under U.S. export control laws and regulations.
Skills
- Data-driven modeling
- Deep learning techniques
- Probabilistic methods
- Predictive modeling
- Python
- NumPy
- SciPy
- Pandas
- TensorFlow
- PyTorch
- Data pipeline development
- Model deployment
Location
- Manhattan, NYC
- North America
- Europe
- Asia
- Oceania
Work Type
- Hybrid
- On-site travel required
Experience Level
- 1+ year industry experience (post Masters or PhD)
Education Level
- Masters or PhD
Salary/Compensations
- $120,000 - $240,000 depending on experience
Benefits
- Equity options
- 5% contribution to 401(k)
- Free team lunch 1x/week
- Private health insurance
- Enhanced parental leave (3 months full pay paternity, 6 months full pay maternity)
- 20 days of Annual Leave (+ Public Holidays)
- Personal development support
- Subsidized Gympass / Wellhub
- Flexible Spending Account (FSA)
About the Company
- PhysicsX is the physics AI company for industrials, accelerating hardware innovation by overhauling industrial engineering and manufacturing.
- Building a new simulation software stack for deep physics AI enablement.
- Partners with leading organizations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables.
- Headquartered in the United Kingdom, with offices in London, New York, and Singapore, and an expanding presence in the Bay Area.
Equal Opportunity
- Committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity.
- Strongly encourage individuals from groups traditionally underrepresented in tech to apply.
- Sponsor bright women from disadvantaged backgrounds through university degrees in science and mathematics.
- Collect diversity and inclusion data solely for monitoring equal opportunities policies and ensuring compliance with employment and equality legislation.