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

Exponentis the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients most profoundly unique unprecedented and urgent challenges.

Our vision is to engage multidisciplinary teams of science engineering and regulatory experts to empower clients with solutions that create a safer healthier more sustainable world. For over five decades weve connected the lessons of past failures with tomorrows solutions to advise clients as they innovate technologically complex products and processes ensure the safety and health of their users and address the challenges of sustainability.

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent youll contribute to the diverse pool of ideas talents backgrounds and experiences that drives our collaborative teamwork and breakthrough insights. Plus we help you grow your career through mentoring sponsorship and a culture of learning. Thanks for your interest in joining our team!

Key statistics:

• 950 Consultants
• 640 Ph.D.s
• 90 Disciplines
• 30 Offices globally

We are currently seeking a Ph.D. level Machine Learning User Research Scientistfor ourData SciencesPractice inNew York NY. 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 electronics industry.

• Supporting a range of consulting activities related tolarge-scale local and global programs to build custom datasets for machine learning algorithmsincluding 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 Human Factors Applied Mathematics Computer Science Cognitive Science Physics Industrial Engineering Mechanical Engineering Civil Engineering Robotics or a related engineering/scientific field
• 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 languages like Python Java and 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 U.S. and international locations to support project work (up to 40% travel)
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) not restricted to 1 page.

To learn more about life at Exponent and our impact please visit the following links:

inspiring developing and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.

At Exponent we have found that in-person interactions deepen employee engagement and are crucial for development for realizing the full potential of our talented and diverse teams and for building a more inclusive workplace where all have a sense of our offices you can expect a supportive culture and a collaborative dynamic multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients visit inspection sites attend conferences and make time for priorities outside of work too. It is this flexible agile work style and working hours that allow our teams to drive innovation and results in their own ways while meeting the needs of clients. #LI-Onsite

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponents total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level total compensation includes base salary bi-weekly bonuses for high-intensity efforts annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.