ML User Research Scientist, Data Sciences (Global/Tampa)

Exponent, Inc; Tampa (FL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) employer contribution of 7%

Bi-weekly bonuses for high-intensity efforts

Job summary

Exponent, Inc in Tampa, FL is seeking a Ph.D. level Machine Learning User Research Scientist for the Data Sciences Practice. You will work on large-scale data collection and analysis, developing next-generation products.

The ideal candidate holds a Ph.D. and has deep knowledge in areas like advanced sensing, user research studies, and machine learning data sets. The position promises growth opportunities, competitive compensation, and the chance to work with diverse clients.

Qualifications

• Strong practical engineering ability combined with leadership and project management skills.
• Excellent verbal and written communication skills.
• Ability to take ambiguous questions and use data to draw insights.

Responsibilities

• Support a range of consulting activities related to data collection for machine learning.
• Provide operational support for hardware and software systems.
• Develop data analysis and visualization tools for project management.

Skills

Advanced sensing technology

Networking data analysis and visualization

Programming or scripting languages (Python, Shell, Java, Perl, MATLAB)

Data acquisition and processing

Machine learning data set design

Dynamic system modeling and control

Education

Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors or related field

Job description

Exponent, Inc in Tampa, FL is seeking a Ph.D. level Machine Learning User Research Scientist for the Data Sciences Practice. You will work on large-scale data collection and analysis, developing next-generation products.

The ideal candidate holds a Ph.D. and has deep knowledge in areas like advanced sensing, user research studies, and machine learning data sets. The position promises growth opportunities, competitive compensation, and the chance to work with diverse clients.