Design Research Lead, QuantitativeSan Francisco, California
Bellevue, Washington Requisition Number R0038141 Subsidiary eBay
eBay is a global commerce leader that allows you to shape how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding more than 20 years ago. Here, you can just be yourself, do your best work, and have a meaningful impact on people across the globe. We are looking for people with drive, ideas, and a passion for helping small businesses succeed to help shape the future of eBay—does this sound like you? If so, we’d love to talk to you!
About the team:
Human-centered insights and a deep understanding of people and culture are critical to how we do our best work. Design Researchers guide partners and teams through this research to discover, interpret, and communicate insights & opportunities in an inspiring way, while contributing to all phases of the design process. Researchers at eBay help our teams use design as a way of understanding people and culture while at the same time using what we learn to inspire and inform design.
We are in search of a Lead Design Researcher (Quantitative) who is radically passionate about gathering and digging through data to understand people’s behaviors to inform and drive data-driven decisions. The ideal candidate is experienced in gathering, triangulating and reporting on behavioral and attitudinal data in ways that impacted design and development of products and services. We’re looking for deep knowledge and expertise in statistics, running large-scale surveys, developing dashboards, collaborating closely with or taking on roles such as Data Analyst, Data Scientist, Market researcher. The candidate should be an expert in utilizing data to inform partners across technical and non-technical roles in a way that increases alignment around user needs and inspires action.
Once at eBay you will
Bring your quantitative research expertise and thought leadership to the team and drive programs that will guide us towards being more data-driven in understanding and exploring key areas of opportunity to improve on the Payments experience based on our various existing sources of user data and new ones you come up with.
In collaboration with our team of mixed-methods researchers, you will translate quantitative information and prepare overviews that will catalyze design and strategic decisions.
An ideal candidate has a strong Data Science or Data Analysis background, has worked closely with Product/UX/Design Research teams, and is an expert in establishing, combining and utilizing a variety of quantitative approaches to gathering and reporting on behavioral as well as attitudinal data.
Advanced degree in Computer Science, Human-Computer Interaction, Statistics, Data Science or a related field, or equivalent practical experience
5 years of relevant work experience in Data Analysis, Data Science, User Experience Human-Computer Interaction, applied product research roles, and/or product development
Experience in programming languages commonly used for data manipulation and computational statistics (such as Python, R, SQL)
Demonstrated expertise in multivariate statistics and experimental design
Proficiency in programming computational and statistical algorithms for large data sets
Excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field.
Understanding of descriptive statistics and basic inferentials including t-test and ANOVA.
View our accessibility info
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at firstname.lastname@example.org. We will make every effort to respond to your request for disability assistance as soon as possible.
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