Machine Learning User Research Scientist; Ph.D

Machine Learning User Research Scientist (Ph.D.)

Location:

New York, NY. Position Type:
Full-time. Workplace Type:
On-site. Salary Range: USD $ - USD $ /Yr.

• 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 related engineering/scientific field (Applied Mathematics, Computer Science, Cognitive Science, etc.).
• 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
  • Developing and executing user research studies using appropriate, quantitative, and qualitative methods to produce tactical, strategic, actionable, and durable insights that inform design and development
  • Programming or scripting languages like Python, Java, Perl, MATLAB
  • Instrumentation, data acquisition, and data processing
  • Operations optimization
  • User studies design and execution with human subjects
  • Machine learning dataset design or optimization
  • Dynamic system modeling and control
• 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 up to 30% to a variety of global locations to support project work.
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required.

USD $ - USD $ /Yr. Total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus, and 401(k) employer contribution of 7% of base salary.

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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