Senior Survey Scientist - Onsite Research Leader (Contract)

Cypress HCM; San Jose (CA); On-site; USD 66,000 - 72,000; Full time

Job summary

Cypress HCM is seeking a Senior Survey Scientist to join the Gen Studio Mgmt team onsite in San Jose, CA for a contract from October 12, 2026 to April 9, 2027. You will review customer questionnaires and sampling plans, determine sample sizes, identify biases, and lead discussions with clients to propose practical improvements.

The role focuses on the scientific assessment of study quality and clear communication of conclusions supported by evidence, with collaboration with the Simulate team for

Qualifications

• Senior applied researcher with deep expertise in survey design, sampling, sample-size determination, and statistical analysis.

Responsibilities

• Review customer questionnaires, sampling plans, and proposed analyses against the business questions they need to answer.
• Determine appropriate sample sizes for the intended comparisons, including key audience segments.
• Identify bias, measurement problems, and limitations that could undermine the findings.
• Lead research discussions with customers, explain tradeoffs, and recommend practical improvements.
• Own the scientific assessment of study quality and clearly communicate which conclusions the evidence supports.
• Work with the Simulate team to design credible comparisons between human and synthetic results.
• Turn recurring lessons from customer studies into survey templates, review criteria, and product quality checks.

Skills

Survey design

Sampling

Sample-size determination

Statistical analysis

Data interpretation

Job description

Cypress HCM is seeking a Senior Survey Scientist to join the Gen Studio Mgmt team onsite in San Jose, CA for a contract from October 12, 2026 to April 9, 2027. You will review customer questionnaires and sampling plans, determine sample sizes, identify biases, and lead discussions with clients to propose practical improvements.

The role focuses on the scientific assessment of study quality and clear communication of conclusions supported by evidence, with collaboration with the Simulate team for