Quantitative UX Researcher: 25-05198

Primary Skills: Quantitative Analysis (Advanced), Python (Intermediate), R (Intermediate), Statistical Analysis (Advanced), Survey Design (Intermediate), Data Modeling (Intermediate)

Contract Type: W2/C2C only

Duration: 12+ Months Contract (High possibility of extension)

Location: San Francisco, CA ()

Pay Range: $55-$62 Per Hour on W2

#LP

Job Summary

We are seeking a Mid-level Quantitative User Experience Researcher to join our team in the Bay Area (hybrid-remote work arrangement acceptable). In this role, you will define and measure quantitative UX goals and metrics, craft quantitative surveys to understand user behaviors and needs, and develop statistical models to enhance user experience. You will work collaboratively with a diverse team of Designers, Qualitative Researchers, Data Scientists, Engineers, and Program Managers to inform and impact all stages of product development with actionable research findings.

Key Responsibilities

• Define and measure quantitative UX goals and metrics in collaboration with cross-functional teams.
• Craft quantitative surveys to effectively size user behaviors and needs.
• Develop code and/or statistical models to understand and improve user experience.
• Conduct empirical research using methods from various fields to understand user behavior and extract meaningful patterns from large data sets.
• Examine existing data and product designs to generate hypotheses and plans for high-impact research.

Must-Have Skills

• Proficiency in programming languages used for data analysis (e.g., Python, R).
• Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys).
• Strong expertise in descriptive, inferential, and multivariate statistics, and experimental design.
• Background in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.

ABOUT AKRAYA

Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!

Industry Leaders in IT Staffing

As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!

Join Akraya Today!

Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Qualifications

• We are seeking a Mid-level Quantitative User Experience Researcher to join our team in the Bay Area (hybrid-remote work arrangement acceptable)
• Proficiency in programming languages used for data analysis (e.g., Python, R)
• Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys)
• Strong expertise in descriptive, inferential, and multivariate statistics, and experimental design
• Background in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field

Benefits

• Duration: 12+ Months Contract (High possibility of extension)
• Pay Range: $55-$62 Per Hour on W2

Responsibilities

• In this role, you will define and measure quantitative UX goals and metrics, craft quantitative surveys to understand user behaviors and needs, and develop statistical models to enhance user experience
• You will work collaboratively with a diverse team of Designers, Qualitative Researchers, Data Scientists, Engineers, and Program Managers to inform and impact all stages of product development with actionable research findings
• Define and measure quantitative UX goals and metrics in collaboration with cross-functional teams
• Craft quantitative surveys to effectively size user behaviors and needs
• Develop code and/or statistical models to understand and improve user experience
• Conduct empirical research using methods from various fields to understand user behavior and extract meaningful patterns from large data sets
• Examine existing data and product designs to generate hypotheses and plans for high-impact research