Statistician – Remote Contract
Listing checked September 17, 2026 · pay as published by Micro1
Overview
micro1 seeks a Statistician to support a customer project that advances data-driven solutions. You will apply your statistical expertise to help train next-generation AI systems, shaping how models learn and reason from real-world data. The work involves cleaning messy datasets, running descriptive and inferential analyses, and creating visualizations. No prior AI experience is needed. This is a remote contractor role.
What You'll Do7
- 1Clean, preprocess, and structure complex, messy datasets using tools such as R, Python, SAS, or Stata.
- 2Perform and document basic descriptive and inferential statistical analyses to reveal trends and patterns in real-world data.
- 3Build clear data visualizations that highlight key findings and support model development.
- 4Contribute to dataset annotation, labeling, or enrichment to improve the quality of AI training data.
- 5Write concise, well-organized summaries of methods, analyses, and results for a non-technical audience.
- 6Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and refine deliverables through written and verbal communication.
- 7Identify data quality issues, recommend actionable fixes, and document solutions for handling dirty or incomplete data.
Requirements7
- 1Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field.
- 2Expertise in cleaning and preparing complex, messy datasets with R, Python, SAS, or Stata.
- 3Proficiency in basic descriptive and inferential statistical techniques, including hypothesis testing and regression analysis.
- 4Strong programming skills in Python or R for statistical analysis, data manipulation, and visualization.
- 5Demonstrated ability to communicate complex findings to non-technical and technical audiences with clarity and precision.
- 6Experience working with large, unstructured, or noisy datasets across a variety of domains.
- 7Excellent written and verbal communication skills, with a focus on detailed documentation and collaboration in remote environments.
Who Should Apply
This role suits statisticians with an advanced degree and hands-on experience cleaning messy data in R, Python, SAS, or Stata. You should be comfortable running descriptive and inferential analyses, building visualizations, and explaining results to non-technical stakeholders. Candidates who have worked with large, noisy datasets and can document their methods clearly will stand out. The role is less suitable for those who prefer only theoretical work or who lack programming skills. A common reason candidates get rejected is not showing concrete examples of handling dirty data or failing to demonstrate clear communication of statistical findings. Another pitfall is not having experience with remote, asynchronous collaboration.
Salary Insight
Compensation for this contractor role ranges from $60 to $120 per hour, as stated in the job posting.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$72/hour
This role
$60–$120/hr
Most Data Engineering roles pay $50–$85 per hour. This role's pay sits above that range.
Based on 195 similar roles that publish pay · 30 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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Hiring most right now: micro1 (121) · Turing (28) · Mercor (21)
Most requested skills · share of roles
- python28%
- sql11%
- excel10%
- data analysis10%
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Compensation
$60–120/hr
Required Skills
Application Tip
In your application, highlight specific projects where you cleaned and prepared messy datasets using R, Python, SAS, or Stata. Quantify the size or complexity of the data and describe how your analysis led to a clear, actionable insight for a non-technical audience. This directly addresses the core requirements and helps raise your fit score.
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