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Mathematical Statistician for Research Initiatives

2 months ago


Washington, United States The International Society for Bayesian Analysis Full time

Position Overview:
We are seeking a Mathematical Statistician at The International Society for Bayesian Analysis dedicated to advancing statistical methodologies for the analysis of complex data sets. This role is pivotal in enhancing the quality of statistical outputs that inform critical decisions across various sectors.

Key Responsibilities:
In this position, you will:

  • Conduct in-depth research to develop innovative statistical methodologies.
  • Publish findings in reputable peer-reviewed journals, contributing to the fields of statistics and data science.
  • Present research outcomes at academic and professional conferences, fostering collaboration with fellow researchers in government and academia.
  • Serve as a methodological expert, providing consultation to enhance statistical practices within the organization.
  • Utilize advanced modeling techniques, including nonparametric methods and Bayesian hierarchical models, to derive unbiased inferences from survey data.
  • Explore and implement privacy protection measures in statistical data products.

Qualifications:
We welcome applications from individuals with a strong background in statistical modeling and data analysis. Ideal candidates will possess:

  • Expertise in machine learning approaches and Bayesian statistics.
  • Experience in handling time- and spatially-indexed data.
  • Proficiency in developing variance estimators for survey data.

Application Tips:
To enhance your application, please ensure:

  • All relevant academic transcripts are included, documenting your qualifications.
  • Your resume clearly outlines your work experience, reflecting the requirements of the position.
  • Experience bullet points include specific details about your roles and responsibilities.

We look forward to receiving your application and exploring the potential for collaboration in advancing statistical science.