Applied Statistician (Survey, Actuarial, Quality)

What You'll Do7

• Author research-level statistical problems grounded in your own area of expertise
• Pull from messy production datasets to build prompts that test how a model handles real data
• Apply methods such as sampling design, reserving, reliability or SPC so each problem reflects actual practice
• Document your reasoning and expected answer so a reviewer can follow the work
• Check accuracy and clarity before you submit a task for approval
• Set your own hours and choose your own task volume with no fixed weekly schedule
• Complete standard background and identity verification once accepted

Requirements5

• Direct experience analyzing your own operational, survey or insurance data with Python or a comparable language
• Ability to describe technical work in writing for readers outside your immediate context
• Comfort working on your own and setting your own pace on task-based work
• Working knowledge of Python; R helps but is not required
• Eligibility to work as an independent contractor without visa sponsorship, which excludes F-1 students on OPT or CPT

Preferred Qualifications4

• Master's or PhD in statistics, or an actuarial credential, with applied industry or agency work
• Applied methods on messy real datasets: sampling design, reserving, reliability or SPC in production
• Public code, a thesis or published papers that demonstrate your technical work
• Prior data annotation, data labeling or AI/ML evaluation experience

Who Should Apply

Statisticians, biostatisticians and actuaries who handle real survey, operational or insurance data and can explain that work in writing. A master's, PhD or actuarial credential with applied experience fits well. You need independent contractor eligibility without visa sponsorship.

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