UX Researcher - AI & Quantitative Specialist

Tata Consultancy Services

San Jose (CA)

Hybrid

USD 80,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Discretionary Annual Incentive
Medical Coverage
Dental & Vision

Job summary

Tata Consultancy Services is seeking a curious, data-savvy UX Researcher to join as a contractor in a hybrid San Jose, CA / Seattle, WA office setup. You will blend AI-augmented research with quantitative analysis and cross-team capability building, embedding AI tools into research workflows and building data fluency across the team.

You will collaborate with researchers, designers, and product managers to influence how we work and what we deliver, leading AI research initiatives end-to-end and

Qualifications

  • Familiarity with research tooling: UserTesting, Qualtrics, Airtable, Maze, or similar.
  • AI design or experience in research of product design with AI tools and integration knowledge.
  • Must have research and product thinking.
  • UI & UX developer and AI engineering knowledge.
  • Design, execute, and analyze quantitative studies including large-scale surveys, concept tests, 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.
  • Extract, interpret, and storytell 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.
  • Lead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout.
  • Work alongside researchers across the team to co‑develop AI‑assisted processes, templates, and playbooks that embed into everyday ways of working.
  • Identify bottlenecks in research operations and propose scalable, AI‑enabled solutions developed with the team, not just handed to them.
  • Demonstrable experience using AI tools within a research context — not just awareness, but active application.
  • 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

  • Lead AI research initiatives end-to-end — from scoping to delivery.
  • Collaborate with researchers, designers, and PMs to embed AI in workflows.
  • Develop templates and playbooks for scalable AI-assisted processes.
  • Triangulate product usage data with primary research to surface actionable insights.

Skills

AI in research
Research tooling
Statistical methods
Quantitative surveys
Power BI
Amplitude
Mixpanel
Behavioral data interpretation
AI initiatives
Survey design
Mixed-methods

Education

Bachelor’s degree or equivalent

Tools

UserTesting
Qualtrics
Airtable
Maze

Job description

Job Description

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 behavioral data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.


Must Have Technical/Functional Skills


  • Familiarity with research tooling: UserTesting, Qualtrics, Airtable, Maze, or similar

  • AI design or experience in research of product design with AI tools and integration knowledge

  • Must have research and product thinking

  • UI & UX developer and AI engineering knowledge

  • Design, execute, and analyze quantitative studies including large-scale surveys, concept tests, 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]

  • Extract, interpret, and storytell 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]

  • 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]

  • Identify bottlenecks in research operations and propose scalable, AI‑enabled solutions developed with the team, not just handed to them [MUST HAVE]

  • 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]

  • Experi ence creating or leading AI‑related research initiatives, not just participating in them [MUST HAVE]


Generic Managerial Skills, If any

Experience in Foresight or Strategic Foresight research — scenario planning, horizon scanning, trend analysis, or futures methodologies


Location : San Jose, CA or Seattle, WA Hybrid 3 days/week in office


Salary Range: $80,000 - $110,000 a year


TCS Employee Benefits Summary


  • Discretionary Annual Incentive.

  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

  • Family Support: Maternal & Parental Leaves.

  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.

  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

  • Time Off: Vacation, Time Off, Sick Leave & Holidays.

  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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