Exponent is hiring a Machine Learning User Research Scientist (Ph.D.)

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! Key statistics: 950+ Consultants 640+ Ph.D.s 90+ Disciplines 30+ Offices globally Our Opportunity We are currently seeking a Machine Learning User Research Scientist for our Data Sciences Practice in New York, NY. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry. You will be responsible for Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis Providing operational support for prototype hardware and software systems including system validation and troubleshooting Actively solving technical and logistical problems in a fast-paced environment Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences Developing data analysis and visualization tools related to project management, demographics, and human-centered data Developing and Maintaining client relationships You will have the following skills and qualifications 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, 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 Developing and executing user research studies using appropriate, quantitative, and qualitative methods to produce tactical, strategic, actionable, and durable insights that inform design and development Experience in programming or scripting languages like Python, Java, Perl, MATLAB Experience in instrumentation, data acquisition, and data processing Operations optimization Experience in user studies design and execution with human subjects Machine learning data set design or optimization Dynamic system modeling and control 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 30% 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].