Responsibilities
- Clean and analyze raw data to prepare it for predictive modeling and machine learning development.
- Design and apply novel deep learning techniques combined with modern optimization strategies to forecast and manage physical system behaviors.
- Ensure high standards of accuracy, reliability, and real-world impact in all technical outputs.
- Build, test, and maintain data pipelines that are robust, scalable, and ready for production deployment.
- Collaborate closely with simulation engineering teams to integrate data science models into simulation workflows seamlessly.
- Support internal research and product innovation by improving existing models and exploring new use cases.
- Communicate clearly with technical teams and clients, presenting results and co-developing solutions to support user adoption.
Benefits
- Equity options offered as part of compensation package.
- Employer contributes 5% to employee's 401(k) plan.
- Weekly team lunch provided at no cost.
- Comprehensive private health insurance coverage for employees, ensuring full peace of mind.
- Generous parental leave policy: 3 months full pay for paternity, 6 months full pay for maternity.
- 20 days of paid annual leave in addition to public holidays.
- Ongoing personal development support to encourage continuous learning and career progression.
- Subsidized access to Gympass or Wellhub wellness programs for employees and up to three family members.
- Flexible Spending Account available for pre-tax healthcare expense contributions.
Work Arrangement
Hybrid
Other
- Occasional travel to customer locations across North America, Europe, Asia, and Oceania, averaging 3–4 weeks per quarter.
- Opportunities for career growth into individual contributor or technical leadership roles as the position evolves.
