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Why this grade This listing scored 83/100, which is a B. It lost the most ground on corroboration. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Mid level Contractor
Role Title: Statistician
Role Type: Contractor
Location: Remote
micro1 is selecting Statistician to contribute expert knowledge to a customer project focused on advancing data-driven solutions. 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.
Scope of Work
- 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.
- Contribute expertise in dataset annotation, labeling, or enrichment to enhance the quality of AI model training datasets.
- Draft concise, well-organized written summaries of methods, analyses, and results for a non-technical audience.
- Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through effective written and verbal communication.
- Continuously identify data quality issues, provide actionable recommendations, and document solutions for handling dirty or incomplete data.
Preferred 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.
- Strong programming skills in Python or R for statistical analysis, data manipulation, and visualization.
- Demonstrated ability to communicate complex findings to non-technical and technical audiences with clarity and precision.
- Experience working with large, unstructured, or noisy datasets across a variety of domains.
- Excellent written and verbal communication skills, with a focus on detailed documentation and collaboration in remote environments.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 17 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.