Vacancy expired!
- A Degree in Statistics, Mathematics, Systems Science, Human-Computer Interaction, Information Science, Computer Science, Cognitive Science, or another related field is required.
- 5+ Experience as an individual contributor responsible for quantitative and qualitative research is required.
- Track record of conducting research in environments containing products at various maturity horizons (evaluating, emerging, investing, extracting, retiring).
- Strong organizational, communication and presentation skills are required.
- Proven Experience facilitating card sorting, affinity mapping, ethnographic studies, mind mapping exercises, and other exercises are required.
- Extensive Experience using statistical tools to clean and organize data.
- Proficiency using tools that require inputs in R and Python is required; bonus if you're proficient in C.
- Experience using machine learning algorithms (process and association mining, clustering, and regression) is highly desired.
- 2-4 years' experience: Data modeling and prototyping, C, Data Acquisition, Data Analysis, Data Cleansing Techniques, Data Modeling, Data Quality Analysis, Python Scripting, Relational data modeling
- Facilitate research expeditions and research workshops across various digital products and platforms.
- Configure tools to capture and analyze end-user behavioral data such as user flow maps, heat maps, and session recordings.
- Use an objective approach to creating experiments across user personas, profiles, and large group stratified segments.
- Test hypotheses using user tests focused on analyzing heuristics, feedback surveys, A/B experiments, and a wide range of UX research approaches.
- Aggregate and synthesize qualitative/quantitative data from large population data sets to identify patterns in user behavior.
- Create computational and statistical algorithms for large data sets.
- Partner with stakeholders from different lines of business to gather and analyze data to understand challenges and end-user pain points.
- Present research findings and insights to various levels of audiences (Executive Leadership to development team members).
- Convey complex technical information to both technical and non-technical audiences.
- We are looking for an experienced UX Researcher with a passion for human-computer interaction to join our team.
- The UX Researcher will work directly with the enterprise web and mobile applications teams responsible for creating digital platforms that interface with over 5 million unique daily users.
Vacancy expired!