US_West | Data Engineer_L2

Talent Software Services, Inc.

  • San Jose, IL
  • 11 days ago
  • $50–$51 Per Hour

Highlights

Please add the below to the comment section: Legal Name: Current Location: (City, State & Zip Code): Home location: Relocate: Bill Rate: CTH After 3 Months: Travelling Availability: Availability to Start: Phone/Mobile Number: Email Address: Visa Type: Visa Expiration Date: Hiring Status: Are you working directly with the contractor’s visa holder: If not indicate # of layers and names of the company: Indicate if the Candidate has worked in CG before and where: Ex-*** Employee: LinkedIn Account: (If available). 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.

Numbers & Facts

LocationSan Jose, IL
Salary$50–$51 Per Hour

Description

Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential

Submit candidates under their legal name and use only *** template.

Work Location: San Jose, California (Onsite)

Start date: Immediate availability.

Background check: MANDATORY

Request ID: WQT3IK

We are looking for a curious, data-savvy UX Researcher to join our team as a contractor. 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
  • Behavioural & Product Data Analysis
    • Extract, interpret, and storytell with behavioural 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 behaviour that inform hypothesis generation and research prioritisation
    • Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural 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

  • 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 behavioural 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]

Comments Section

Please add the below to the comment section:

  • Legal Name:
  • Current Location: (City, State & Zip Code):
  • Home location:
  • Relocate:
  • Bill Rate:
  • CTH After 3 Months:
  • Travelling Availability:
  • Availability to Start:
  • Phone/Mobile Number:
  • Email Address:
  • Visa Type:
  • Visa Expiration Date:
  • Hiring Status:
  • Are you working directly with the contractor’s visa holder:
  • If not indicate # of layers and names of the company:
  • Indicate if the Candidate has worked in CG before and where:
  • Ex-*** Employee:
  • LinkedIn Account: (If available)
  • Vendor Point of Contact for Interview Scheduling:
  • Contractor approved to share its resume to client:
  • Skills summary:

Resumes will be rejected for the following reasons:

  • Different format
  • Missing details in comments section
  • Missing text box in the header
  • Photo ID included containing personal information other than legal name and photo

Jorge Nunez
External Resource Manager (ERM) | SubCo Staffing Center
*** North America | Guatemala

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