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

Exponent Inc. • Tampa, FL

8d • 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 efforts, utilizing and improving next-generation products, and optimizing internal and external programs to support clients in the consumer electronic industry. The position is part of a team that works on large-scale local and global programs, building custom datasets for machine learning algorithms. The role also includes 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

Benefits

• Access benefits information on our Life@Exponent page: https://www.exponent.com/careers/life-exponent
• Base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree