Senior Data Scientist

PhysicsX

PhysicsX

Data Science
New York, USA
USD 120k-240k / year + Equity
Posted on Sep 17, 2025

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We're Looking For

As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used.

You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines.

With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role

In this senior 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, while providing technical leadership to your team.

You'll build the foundations for successful, impactful solutions by:

  • Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team.
  • Architecting and developing 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 and the work of your team.
  • Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments.
  • Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations.
  • Driving internal R&D and product development, helping to refine models and identify new areas of application.
  • Mentoring junior team members and providing technical guidance to help them grow.
  • Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers.
  • Representing PhysicsX as a technical authority when traveling 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.

As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader.

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!

What we offer

  • 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.
We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.
Salary Range
$120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.