Survey Method Expert

il y a 1 semaine


Leuven, Belgique IPSOS Temps plein

**What will you be doing?**
The Survey Method Expert will serve as statistical lead in the design of KP Europe and administration of sample surveys and will be responsible for working on both individual studies as well as developing and enhancing and ensuring Ipsos¿ KP quality standards. This position serves as an internal and external consultant on the design and implementation of KP and provides an excellent opportunity for a talented and imaginative researcher to play a leading scientific role in the deployment and expansion of Ipsos¿s research assets. The role will primarily focus on the establishment of Ipsos¿s KnowledgePanel Europe, which is probability-based.

**Key Responsibilities**:

- Support project teams in translating client research needs into efficient yet high quality study designs via developing sampling and weighting plans, writing proposals, and direct consultation with internal and external clients.
- Generating weights and other adjustments, performing imputation, overseeing quality control procedures, and leading or advising on advanced analytics for existing projects.
- Help identify and investigate statistical, methodological, and procedural enhancements for the design and maintenance of the KnowledgePanel, as well as cutting-edge techniques for enhancing the validity of data collected via the KnowledgePanel.
- Support and lead efforts to advance data integration and sample blending methodologies.
- Lead and co-lead special research initiatives on emerging topics in sampling and panel research, such as: effective methods for supplementing KnowledgePanel with alternative sample sources, use of machine learning procedures in survey research, bias reduction in nonprobability/opt-in samples, data cleaning and editing, representativeness and data validity, and data privacy.

**Profil**:
**What would we like you to bring?**
- **Advanced degree **in **survey **sampling **, **statistics **, or a directly related field; at least **5 years of experience in an applied research setting **and **Ph.D **. with a focus on **statistical **sampling **theory and survey methods preferred.
- **Hands-on experience **with **statistics **for **sampling **(address-based sampling, panel methods, online samples, area probability sampling, and telephone sampling using RDD samples).
- Able to provide **statistical **advice **and written **justification **for **sample **design **and **familiarity **with commonly **referenced **data **and **sampling **sources **across **Europe **.
- Experience with **different ways of addressing attrition **and non-response bias in panel data analysis and their impact on the interpretation of findings is a plus. Familiarity with commonly references data on strategies to improve representativeness.
- Demonstrated ability in the design and execution of **high-quality quantitative research **, **statistical weighting **of **survey **data **, **variance **estimation **, and have a working knowledge of multivariate statistical analysis.
- **Hands-on experience working with public data like health, public opinion, demographic, geospatial, and/or social media data **. Experience with **multiple data collection modes **and knowledge of best practices of **measurement **and **analyses **.
- Highly skilled with **R, SAS, Python, or SPSS **.
- Ability to convey **complex **and **technical **topics **to non-academic and/or non-technical audiences, both verbally and in written form.
- Highly **motivated **, **proactive **, self-directed, and comfortable working within tight and shifting deadlines.
- **Team-player **with keen interest in collaborating with **local markets**:

- Strong **organizational skills **, and the ability to manage multiple **projects **simultaneously **, while **maintaining **a strong **client service **orientation **.
- **Unflagging **attention **to detail **and commitment to the **accuracy **and **completeness **of **information **, quality of results, and robustness of findings.
- Strong **internal **and **external **client **presence **; approachable colleague with well-developed interpersonal skills.
- **Flexible **and **comprehensive **thinker **, with enthusiasm for learning and innovation.

**Connaissances linguistiques**:Engels : Goed


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