Statistician

RemoteJobsOne; Dubai; Remote; AED 304,000 - 607,000; Full time

Job summary

RemoteJobsOne is seeking a highly skilled Statistician for a fully remote contractor role based in the United Arab Emirates. You will clean, preprocess, and analyze real-world datasets to support AI model training and evaluation.

Responsibilities include designing descriptive and inferential analyses, building clear visualizations, and documenting methods for non-technical stakeholders. Strong Python or R skills and excellent remote collaboration are essential.

Qualifications

• Advanced degree in a quantitative field.
• Experience cleaning and preparing complex datasets.
• Strong Descriptive and Inferential statistics knowledge.
• Able to communicate findings clearly to varied audiences.

Responsibilities

• Clean, preprocess, and structure messy datasets using statistical software.
• Apply descriptive and inferential analyses to real-world data.
• Develop compelling data visualizations to illustrate findings.
• Annotate and enrich datasets for AI model training.
• Draft concise summaries of methods and results for non-technical readers.
• Collaborate asynchronously with stakeholders to refine deliverables.
• Identify data quality issues and document remediation steps.

Skills

Statistical analysis

Data visualization

Data cleaning

Communication

Education

MS or PhD in Statistics

Biostatistics or Data Science

Tools

Python

R

SAS

Stata

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application - it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in United Arab Emirates.

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") 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.