UX Researcher AI & Quantitative Specialist

Capgemini; San Jose (CA); On-site; USD 45,000 - 70,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a UX Researcher AI & Quantitative Specialist for a 5-month contract in San Jose, CA. This on-site role sits at the intersection of AI-augmented research, advanced quantitative analysis, and capability-building across teams.

You will drive AI-adoption initiatives, integrate AI tools into research workflows, and collaborate with researchers, designers, and product managers to shape how we work and what we deliver.

Qualifications

• Demonstrable experience using AI tools within a research context.
• Strong quantitative research skills: survey design, statistical analysis, and insight generation.
• Hands-on experience pulling and interpreting behavioral data from Power BI, Amplitude, or equivalent platforms.
• Solid grounding in mixed-methods research you can move fluently between qual and quant.
• Experience creating or leading AI-related research initiatives, not just participating in them.

Responsibilities

• AI-Augmented Research: Apply AI tools actively in day-to-day research workflows - synthesis, analysis, screener design, report generation, and more.
• Leadership in internal initiatives that accelerate the team's AI adoption and maturity.
• Share external best practices and bring fresh thinking to how AI can transform research at scale.
• Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions.
• Quantitative Research & Statistics: Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies.
• Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more.
• Build clear, insight-led outputs from quantitative data that drive product and business decisions.
• Partner with data and analytics teams to ensure research findings are grounded in robust methodology.
• Behavioral & Product Data Analysis: Extract, interpret, and story tell with behavioral data from platforms such as Power BI, Amplitude, Mixpanel, or similar.
• Triangulate product usage data with primary research to surface richer, more actionable insights.
• Identify patterns in user behavior that inform hypothesis generation and research prioritization.
• Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioral signals.
• Qualitative Research: Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries; Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks; Translate qualitative findings into compelling narratives for product, design, and leadership audiences.
• Cross-Team AI Acceleration: Lead AI research initiatives end-to-end - from scoping to delivery - while actively partnering with fellow researchers throughout; Co-develop AI-assisted processes, templates, and playbooks; Identify bottlenecks in research operations and propose scalable, AI-enabled solutions; Contribute to a culture of continuous learning and methodological rigour.

Skills

AI tools in research

Quantitative research

Qualitative research

Cross-functional collaboration

Tools

Power BI

Amplitude

Mixpanel

Job description

UX Researcher AI & Quantitative Specialist (Contract)

San Jose, CA, United States (On-site)

Contract (5 months 13 days)

Published 13 days ago

AI Adoption

Power BI

statistical analysis

Significance testing

Thematic Analysis

cross - functional collaboration

We are looking for a curious, data-savvy UX Researcher to join our team as a contactor.

This is not a traditional research role it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.

You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team.

You will work alongside researchers, designers, and product managers influencing how we work, not just what we deliver.

What You'll Do

AI-Augmented Research

Apply AI tools actively in day-to-day research workflows - synthesis, analysis, screener design, report generation, and more

Lead and co-create internal initiatives that accelerate the team's AI adoption and maturity

Share external best practices and bring fresh thinking to how AI can transform research at scale

Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions

Quantitative Research & Statistics

Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]

Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]

Build clear, insight-led outputs from quantitative data that drive product and business decisions [MUST HAVE]

Partner with data and analytics teams to ensure research findings are grounded in robust methodology

behavioral & Product Data Analysis

Extract, interpret, and story tell with behavioral data from platforms such as Power BI, Amplitude, Mixpanel, or similar [MUST HAVE]

Triangulate product usage data with primary research to surface richer, more actionable insights [MUST HAVE]

Identify patterns in user behavior that inform hypothesis generation and research prioritization

Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioral signals

Qualitative Research

Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries

Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks

Translate qualitative findings into compelling narratives for product, design, and leadership audiences

Cross-Team AI Acceleration

Lead AI research initiatives end-to-end - from scoping to delivery - while actively partnering with fellow researchers throughout [MUST HAVE]

Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]

Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you

Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them

Contribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity

What We're Looking For

Non-Negotiables

Demonstrable experience using AI tools within a research context not just awareness, but active application [Must have]

Strong quantitative research skills:

survey design, statistical analysis, and insight generation [Must have]

Hands-on experience pulling and interpreting behavioral data from Power BI, Amplitude, or equivalent platforms [Must have]

Solid grounding in mixed-methods research you can move fluently between qual and quant [Must have]

Experience creating or leading AI-related research initiatives, not just participating in them [Must have]

The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.