Machine Learning User Research Scientist (Ph.D.)

Exponent Inc.; New York (NY); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Life at Exponent

Job summary

Exponent seeks a Machine Learning User Research Scientist in New York, NY. You will plan and execute global data collection efforts, working with a multidisciplinary team to improve products for consumer electronics clients.

The role emphasizes data analysis, visualization, and leadership within the Data Sciences Practice, with opportunities to travel up to 30% globally.

Qualifications

• Ph.D. in a relevant engineering/scientific field.

Responsibilities

• Plan and execute global data collection efforts for ML user research.
• Utilize and improve next-generation products in data sciences.
• Optimize internal and external programs to support clients in consumer electronics.
• Provide operational support for prototype hardware and software systems.
• Lead ad hoc interdisciplinary teams across Data Sciences, Human Factors, Health Sciences, and Engineering.
• Develop data analysis and visualization tools for project management and demographics.

Skills

Data analysis

Python

Matlab

Experiment design

Team leadership

Communication

Multidisciplinary collaboration

Education

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

Tools

Python

MATLAB

Data acquisition

Job description

About Exponent

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, we've connected the lessons of past failures with tomorrow's 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, you’ll 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

Our Opportunity

We are currently seeking aMachine 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 electronic industry.

You will be responsible for

• 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

You will have the following skills and 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, 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.

Life @ Exponent

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.

Work Environment

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

Compensation

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.

Salary Range

USD $130,000.00 - USD $140,000.00 /Yr.

Benefits you will enjoy

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 [e-mail].

Job Locations

US-NY-New York