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Statistician

micro1

RemoteRemoteUSD 125k–250kmidContractor
Posted
1 month ago
Source
Himalayas
Field
Data & Analytics

Skills

CommunicationPythonNext.jsAI

Description

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

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