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

Exponent; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Bi-weekly bonuses

Annual bonus

401(k) employer contribution of 7%

Job summary

Exponent is seeking a Machine Learning User Research Scientist with a Ph.D. in relevant fields in Tampa, FL. The position entails supporting global data collection and enhancing products in the consumer electronics industry.

Responsibilities include leading interdisciplinary teams, creating data visualizations, and engaging in user research. The ideal candidate must have a strong background in machine learning and excellent communication skills.

Qualifications

• Ph.D. required in Electrical Engineering, Computer Engineering, or related field.
• Experience with large experimental data sets for machine learning.
• Strong communication and project management skills.

Responsibilities

• Support consulting activities for data collection and analysis.
• Provide operational support for prototype systems.
• Create interdisciplinary teams for various projects.

Skills

Advanced sensing technology

Networking data analysis

Python

Human subjects research

Machine learning dataset design

Education

Ph.D. in relevant engineering/scientific field

Tools

MATLAB

Java

Job description

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

Job ID: 2026-2481

Location: Tampa, FL

Practice: Data Sciences

Position Type: Full-time

Workplace Type: On-Site

Job Overview

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.

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.

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, 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.

Compensation

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

Benefits

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.

Equal Opportunity Employer

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.

If you need assistance or accommodation due to a disability, you may email us at [e-mail].