Machine Learning User Research Scientist (Ph.D. required)

Exponent•Tampa, FL

6d•Onsite

About The Position

Exponent is seeking a Ph.D. level Machine Learning User Research Scientist for their Data Sciences Practice in Tampa, FL. This role involves planning and executing global data collection, utilizing and improving next-generation products, and optimizing internal and external programs for clients in the consumer electronic industry. The position requires supporting large-scale local and global programs, building custom datasets for machine learning algorithms, providing operational support for prototype hardware and software systems, solving technical and logistical problems, creating and leading interdisciplinary teams, developing data analysis and visualization tools, and maintaining client relationships.

Requirements

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

Responsibilities

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