PhysicsX

PhysicsX

Data Scientist

New York, United States

H1B sponsorship available$120k-$240kDetected 37 days ago
PythonAlgorithmsRESTMachine LearningDeep LearningTensorFlowPyTorchPandasNumPyData EngineeringData ScienceExcelResearchCommunication

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$87,2561 entry
Level II$115,8352 entries
Level III$144,4143 entries
Level IV$172,9944 entries

$24,414 more — $144,414 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $144,414 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
  • You've worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling.
  • Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).

Responsibilities

  • Build what actually matters
  • Building meaningful technology is a marathon, not a sprint.

Compensation

  • $120,000 - 240,000 depending on experience

Benefits

  • 🚀 Equity options - share meaningfully in the company you're helping to build.
  • 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

Company info

  • Re-architecting Engineering for the Age of Intelligence
  • PhysicsX is the physics AI company for industrials. The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
  • Who We're Looking For
  • As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used.
  • 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.
  • PhysicsX is the physics AI company for industrials.
  • The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today.
  • PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle.
  • The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges.
  • As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions.
  • You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used.
  • Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines.
  • With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running.
  • You're truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
  • Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
  • In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving.
  • You'll build the foundations for successful, impactful solutions by:
  • You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
  • As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you're driven by taking ownership of more complex projects and leading the direction of future solutions.
  • Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office.
  • Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey!

Equal opportunity

  • We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation.

Visa & Work Authorization

  • Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
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This listing is sourced directly from PhysicsX's careers page and normalized into a canonical job model.