Statistician

Skills

About this role

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Statistics & Data Analysis SME

Responsibilities

• Clean, preprocess, and structure complex and messy datasets using advanced statistical software (such as R, Python, SAS, or Stata).
• Apply and document basic descriptive and inferential statistical analyses to uncover trends and patterns in real-world data.
• Develop clear and compelling data visualizations to illustrate key findings and support model development.

Qualifications

• Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field.
• Expertise in cleaning and preparing complex, messy (“dirty”) datasets with R, Python, SAS, or Stata.
• Proficiency in basic descriptive and inferential statistical techniques, including hypothesis testing and regression analysis.