Role overview
Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.
Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.
Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!
What we're looking for
- M.S. with at least 4 years of experience or Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics)
- Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences
Demonstrated experience and expertise in one or more of the following areas:
Advanced sensing technology
Networking data analysis and visualization
Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development
Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB
Experience in instrumentation, data acquisition, and /or data processing
Operations optimization
Machine learning data set design or optimization
Dynamic system modeling and control
Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms
The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
Strong practical engineering ability combined with leadership and project management skills
Excellent verbal and written communication skills
Ability to work independently and in multidisciplinary teams
Ability to travel to a variety of global locations to support project work (up to 40% travel)
Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].
US-AZ-Phoenix