Survey Statistician

About the Role:
The Survey Statistician position will focus on modernizing **variance estimation** approaches for Nielsen’s cutting edge panel + big data measurement solutions. Make an immediate impact with current audience measurement techniques that blend the strengths of high quality representative panel data with the scale of big data assets such as set top boxes and Smart TVs. In this role you will help advise, design, and adapt current **sampling error** estimation methodologies while utilizing your knowledge of **probability sampling design**, non-response adjustment, weighting, imputation, and analysis of **complex sample survey data**.

**Responsibilities**:

- Contribute to solutions for problems where established theories and techniques have not been identified or where established procedures are not yet available.
- Assist in the development of innovative sampling design, sampling variance estimation, and complex survey data analysis procedures.
- Independently write code to conduct data processing and technically complicated data analysis without supervision.
- Use git and cloud development tools to foster data science and analytic reproducibility.
- Support analyses for Data Science teams including custom requests, client inquiries, impact of changing methodologies, standards and best practices.
- Examine analysis specifications for completeness, determine how to execute the analysis, modify specifications as needed, provide an estimated delivery date, and accurately deliver analyses on time with a summary of the key insights.
- Proactively gather information, as needed, to work independently as well as in a team environment.

**Skills**:

- Master’s degree in statistics or survey research with a statistical science emphasis.
- 3+ years experience with **primary research**, calculating weights for complex survey data (e.g. stratified sampling, cluster sampling) and calculating sampling errors using **resampling/replication** techniques (e.g. **jackknife**, **bootstrap**) or **Taylorseries **linearization.
- Outstanding statistical and analytical skills.
- Strong proficiency with a statistical programming language (Python preferred).
- Collaborative code development experience, including version control and code review.
- Excellent problem solving and critical thinking skills.
- Excellent verbal and written communication skills.
- Excellent coding fundamentals.
- Excellent troubleshooting and debugging skills.
- Curiosity and skepticism