Job Description

Job Description

Job Description

Summary

HATCI (Hyundai America Technical Center) is looking for an intermediate-level UX researcher who loves to source quantitative user data, run statistical analysis, and create data visualization to highlight the findings & implications.

This quantitative user researcher is expected to draw design insights from user data and have a great sense of data visualization. As a quantitative user researcher, You 1) Must have analytic skills but also be skilled with storytelling with data to reveal any general patterns as well as the specific outliers. 2) Should understand the foundational mathematical formula behind the statistical analysis and be able to execute the analysis based on the understanding of the limitations and abilities of the tool and the dataset (small sample size vs. big data). 3) Always be cautious about the measurement. 4) Explore the boundaries of quantitative vs. qualitative data. 5) Are familiar with the big data challenges and machine learning. With these specialties listed, this role will support data-driven approach to UX design research for the future vehicles of Hyundai/Kia/Genesis.

You are expected to have high proficiency in data analytic tools such as MS Excels, SPSS, and R but also to be very comfortable running the analysis and creating visualization by code such as utilizing Python library (ex. NumPy, SciPy) or JS library (ex. D3.js). Your portfolio needs to present the published example of works.

As a user researcher, you have a clear drive for the value of users. Before the data, you have a solid foundation of UX design principles and data visualization theories by training and practice not by name. You have a good story of your failure and how you learned from that experience. You will demonstrate design thinking that links marketing, engineering/ technology, and social/human science with the holistic approach to design in a fast-paced agile environment for the new mobility transition period involving electric vehicles, autonomous driving, and innovative transportation solutions.

Essential Duties and Responsibilities, including but not limited to:

• Team player. You will support a team culture of empathy and understanding of user needs while balancing business decisions.
• Design thinker. You will move fast in the iterative process -- listening, ideation, collecting data, analysis, and evaluation in Agile practice.
• Human-centered researcher. You will define the problems and create solutions from the user's perspective - and make a good judgment when to focus on the individual or when to look over the universal human needs.
• Data-driven researcher. You will derive the implication for the design ideas based on the evidence - especially with empirical data.
• UX designer. You will utilize the insights from the user data to support UX design ideation and validation.
• Quantitative researcher. You will thrive with various user data that captures attitudes, behavior, biometrics, or beyond. You are creative in research design for data collection but at the same time have a sharp eye on data curation and analysis to reduce any biases. You are ready for the big data in driving situations and to experiment with machine learning for UX insights.
• Excellent Communicator. As a UX researcher, you excel in communication about research data and design ideas for internal and external collaborators. Well-organized; excellent verbal, written, AND visual communication.

Occasional domestic/overseas travel is possible for user research events & tech shows up to 20% of the time.

Qualifications and Requirements

• Passion for automobile UX for the future.
• Be open-minded and multicultural.
• Doctoral degree (including ABD) in Data Science, Computer Science, Statistics, Experimental Psychology/Philosophy, or related scientific disciplines.
• Evidence of work/ course on HCI/UX foundations.
• Preferred candidate will have 3+ years of professional experience in the automobile industry.
• Published work examples of:

1. Data Visualization, expected to be interactive and web based.
2. Quantitative UX research paper.

• The ability to calculate the sample size with a given statistical power, design the studies to collect & curate the data, apply the statistical analysis (ex. T-Tests, ANOVA, Regressions, Bayesian A/B testing, Factor Analysis), visualize the insights from the analysis, and document the process and the summary of findings.
• The ability to be flexible and inventive, using analytic and creative problem-solving approaches to experiment design and user testing.
• Excellent communication skills: verbal, written, visual, and presentation skills are a must.
• Good data visualization and information design foundation especially how to avoid chartjunk and how to keep the high quality in visual storytelling.

• Tools (inclusive but not exclusive)
• Basic documentation: MS Office - Excel, Word, PowerPoint.
• Basic Analytical: Excel, MATLAB, R, Python
• Basic programming for visualization: D3.js, Processing/p5.js

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