Machine Learning User Research Scientist (Ph.D.)

950+ Consultants

640+ Ph.D.s

90+ Disciplines

30+ Offices globally

We are currently seeking a Machine Learning User Research Scientist for our Data Sciences Practice in New 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 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, 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

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

Experience in programming or scripting languages like Python, Java, Perl, MATLAB

Experience in instrumentation, data acquisition, and data processing

Operations optimization

Experience in user studies design and execution with human subjects

Machine learning data set design or optimization

Dynamic system modeling and control

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 global locations to support project work (up to 30% 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: https://www.exponent.com/careers/life-exponent https://www.exponent.com/company/our-impact

Attracting, 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 belonging. In 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. Exponent's 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.

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent

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 [email protected] .