Statistician

RemoteJobsOne; Johannesburg; Remote; ZAR 1,357,000 - 2,713,000; Part time

Job summary

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in South Africa. You will apply statistical methods to help train next-generation AI systems using real-world data.

You'll clean and preprocess datasets with Python, R, SAS, or Stata, perform descriptive and inferential analyses, and build clear visualizations. Strong communication and remote collaboration are essential to explain methods to non-technical stakeholders.

Qualifications

• Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or related field.
• Expertise in cleaning and preparing complex datasets with R, Python, SAS, or Stata.
• Proficiency in descriptive and inferential statistics, including hypothesis testing and regression.
• Strong programming in Python or R for analysis, data manipulation, and visualization.
• Ability to communicate complex findings to non-technical and technical audiences.
• Experience with large, unstructured datasets across domains.
• Excellent written and verbal communication in remote environments.

Responsibilities

• Clean, preprocess, and structure complex and messy datasets using advanced statistical software (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 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.

Skills

Statistical analysis

Data cleaning

Data visualization

Python

R

Communication

Education

MS or PhD in Statistics/Data Science/Math/Biostatistics

Tools

Python

R

SAS

Stata

Job description

This is fully remote position, open to candidates based in South Africa.

Pay: $60-$120/hr

Role Title: Statistician

Role Type: Contractor

Location: Remote

the company 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

1. Clean, preprocess, and structure complex and messy datasets using advanced statistical software (such as R, Python, SAS, or Stata).
2. Apply and document basic descriptive and inferential statistical analyses to uncover trends and patterns in real-world data.
3. Develop clear and compelling data visualizations to illustrate key findings and support model development.
4. Contribute expertise in dataset annotation, labeling, or enrichment to enhance the quality of AI model training datasets.
5. Draft concise, well-organized written summaries of methods, analyses, and results for a non-technical audience.
6. Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through effective written and verbal communication.
7. Continuously identify data quality issues, provide actionable recommendations, and document solutions for handling dirty or incomplete data.

Preferred Qualifications

1. Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field.
2. Expertise in cleaning and preparing complex, messy (dirty ('dirty')) datasets with R, Python, SAS, or Stata.
3. Proficiency in basic descriptive and inferential statistical techniques, including hypothesis testing and regression analysis.
4. Strong programming skills in Python or R for statistical analysis, data manipulation, and visualization.
5. Demonstrated ability to communicate complex findings to non-technical and technical audiences with clarity and precision.
6. Experience working with large, unstructured, or noisy datasets across a variety of domains.
7. Excellent written and verbal communication skills, with a focus on detailed documentation and collaboration in remote environments.