We are looking for Statistician candidates for a project delivered through micro1.
What you'll do
- 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.
Nice to have
- 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.
Expertise
Who you work with
Project and contracting process: micro1. Applications continue on the provider's website.