11 часов назад
Principal Measurement Scientist (Brand Tracking)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Measurement Scientist (Brand Tracking): Building and governing a multi-year measurement science programme for a global brand-tracking platform with an accent on survey methodology, psychometrics, respondent psychology, and academic-level validation. Focus on designing experiments, running statistical analyses and power calculations, auditing measurement frameworks, and producing evidence that can withstand peer review.
Location: Hybrid role based in Sydney or Auckland
Company
is building a brand-tracking platform focused on rigorous, scalable brand-health measurement.
What you will do
- Create and lead a multi-year measurement science programme, defining research questions, methods, evidentiary standards, and sequencing.
- Audit and challenge existing tracking methodology, confirming, refining, or identifying areas for further investigation.
- Design, run, and analyse academic-level validation studies, including experimental design, power calculations, and statistical validation.
- Investigate respondent psychology, including attention, cognitive load, satisficing, recognition effects, order effects, and panel fatigue.
- Define and maintain metric, methodology, survey-design, and measurement-validation frameworks.
- Build the methodology knowledge base and engage with external academics, advisory networks, and relevant conferences.
Requirements
- Advanced academic training, ideally a PhD or Master’s in psychology, statistics, behavioural science, or a related field.
- 10+ years of experience in quantitative research or measurement science.
- Expertise in survey methodology, measurement theory, psychometrics, and respondent psychology.
- Strong experimental design, measurement validation, statistical analysis, and power-analysis skills.
- Hands-on experience with R or Python, plus SQL and Snowflake for direct data access.
- Practical proficiency with survey data collection and fieldwork platforms, with the ability to collaborate across Survey Operations, Data Science, Product, and Marketing Science.
Nice to have
- Experience in a rigorous empirical research environment such as Ehrenberg-Bass or an equivalent organisation.
- Experience assessing synthetic modelling inputs and multi-source data.
Culture & Benefits
- Office-first environment with hubs in Auckland, Sydney, New York, and London, alongside flexibility in time management.
- Transparent compensation framework, annual full-cycle compensation reviews, and rolling promotions.
- ESOP participation for employees.
- Six weeks of paid leave, an annual wellness bonus, and access to EAP services.
- Paid parental leave, IVF support, and a phased return to work.
- $1,000 annual learning and development budget.
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