Machine Learning User Research Scientist; Ph.D

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

Job :

Location: Tampa, FL

Practice: Data Sciences

Position Type: Full-time

Workplace Type: On-Site

We are currently seeking a Ph.D. level Machine Learning User Research Scientist for our Data Sciences Practice in Tampa, FL. 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.

• 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.

• 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.
  • Programming or scripting languages like Python, Shell, Java, Perl, MATLAB.
  • Instrumentation, data acquisition, and/or data processing.
  • Operations optimization.
  • Machine learning dataset 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.
• Desire to work with a diverse set of clients and engage in work outside 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.

Base salary is dependent on experience and capabilities, which will be assessed during the interview process.

Our compensation package includes base salary, bi‑weekly bonuses for high‑intensity efforts, annual bonus, and 401(k) employer contribution of 7% of base salary.

Additional benefits are available – please refer to our Life@Exponent page for details.

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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