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Data Scientist

Remote, USA Full-time Posted 2026-07-28

reputed company is a deep-tech company reputed company 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

  • reputed company-processing and analyzing data to prepare it for use in predictive modelling, building the reputed company for machine learning algorithms to be developed
  • Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization reputed company to predict and control the behaviour of physical systems
  • Taking full responsibility for the reputed company, accuracy and reputed company of your work
  • Designing, building and testing data pipelines that are reliable, reputed company 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 reputed company communication and presentation with both technical teams and customers, helping reputed company users and co-reputed company with customers
  • There is a requirement to travel to customer sites in reputed company, 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 reputed company, non-research environment
  • Strong foundations in data driven modelling and deep learning techniques
  • Hands-on experience in probabilistic reputed company and predictive modelling
  • Expertise in Python
  • Proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch
  • Ability to reputed company reputed company, production-reputed company models and data pipelines
  • Ability to reputed company-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 reputed company
  • Ability to take full responsibility for the reputed company, accuracy and reputed company of work
  • Experience in designing, building and testing data pipelines that are reliable, reputed company 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 reputed company communication and presentation with both technical teams and customers
  • Willingness to travel to customer sites in reputed company, Europe, Asia, Oceania, an average of 2-3 weeks per quarter

Benefits

  • Equity reputed company – reputed company in our reputed company and reputed company.
  • 5% 401(k) match – invest in your reputed company.
  • Flexible working – balance your work and life in a way that works for you.
  • Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
  • reputed company parental leave – support for life’s biggest milestones.
  • Private reputed company – comprehensive coverage for you and your family.
  • Personal development – reputed company learning and training to help you grow.
  • Work from reputed company – reputed company your remote setup to enjoy the sun or reputed company with loved ones.

reputed company

  • reputed company offers an AI-reputed company simulation software stack for engineering and manufacturing across advanced industries. It was founded in 2019, and is headquartered in London, England, GBR, with a workforce of 51-200 employees. Its website is https://www.reputed company.ai.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.

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