Quantitative UX Researcher

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
TEAMThe Core ADAS Advanced UX team works on Lv2 to Lv4 automated driving technologies, including Lv2 advanced driver assistance interaction design (driving and parking assistance), UX design for Lv4 automated driving mobility, and UX research for these products. You will work with our team including project managers, interaction designers, UI designers, 3D designers, 3D engineers, and UX researchers. We value teamwork and transparency as we collaborate daily with colleagues and partners from multiple regions and backgrounds.
WHO ARE WE LOOKING FORA researcher experienced in experimental design, statistical analysis, programming, and can shape the direction for widely used and cherished products.
A true user experience professional with expertise in conducting research throughout all phases of the design process, balancing cost, time, and quality.
A collaborative team player who educates non-researchers on the value of data-driven decision-making and works with fellow researchers to establish standards that enhance efficiency and cost-effectiveness.
Above all, you are passionate about people and technology, with an interest in contributing to the creation of the safest vehicles possible.

RESPONSIBILITIES:

• Design and implement collaborative research studies using methods from computer science, quantitative social science, statistics, econometrics, and more to investigate user behavior and define metrics for measuring user experience.
• Collaborate with UX Researchers, UX Designers, Product Owners, and Engineers to establish capabilities that maximize the benefits of Quantitative UX Research.
• Translate research insights into compelling narratives that inspire solutions and guide major design decisions.
• Come to the office 3 days per week per our hybrid work policy and report to the manager in charge of Mobility Human Factor.

MINIMUM QUALIFICATIONS:

• 2+ years of experience in a UX Research role.
• Proficiency in a programming language used for data manipulation and computational statistics (such as Python, R, MATLAB, C++, Java, or Go) along with SQL.
• Experience with descriptive statistics and basic inferential techniques, including t-tests and ANOVA.
• Proficient in data visualization techniques and tools.

NICE TO HAVES:

• Master’s degree (in progress or completed) in Anthropology, Psychology, Human Factors, Statistics, Human-Computer Interaction, Design Research, or related fields, or equivalent practical experience.
• 5+ years experience as a Quantitative UX Researcher or in a similar role.
• Experience in the automotive or transportation industry.
• Proficiency in data visualization techniques and tools.
• Expertise in survey design.
• Experience applying Machine Learning methods to UX Research processes.

All interviews will be arranged through Google Meet, unless mentioned otherwise.
WHAT WE OFFER・Competitive Salary - Based on experience・Work Hours - Flexible working time with NO core-hours・Paid Holiday - 20 days per year (prorated)・Sick Leave - 6 days per year (prorated)・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company・Japanese Social Security - all applicable (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)・In-house Training Program (software study/language study)
Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.