Statistician

RemoteJobsOne; Manila; Remote; PHP 5,189,000 - 10,377,000; Part time

Job summary

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in the Philippines. You will clean and preprocess complex datasets, perform descriptive and inferential statistics, and create compelling data visualizations to support AI model training.

Strong programming in Python or R and excellent written communication are essential for collaborating with stakeholders and documenting methods and results for a non-technical audience.

Qualifications

• MS or PhD in Statistics, Data Science, Mathematics, Biostatistics, or related field.
• Experience cleaning and preparing messy datasets with R, Python, SAS, or Stata.
• Proficient in descriptive and inferential statistics including hypothesis testing and regression.
• Strong Python or R programming for analysis, manipulation, and visualization.
• Ability to communicate findings clearly to diverse audiences.
• Experience handling large, unstructured datasets across domains.
• Excellent written and verbal communication for remote collaboration.

Responsibilities

• Clean, preprocess, and structure complex datasets using statistical software (R, Python, SAS, or Stata).
• Apply descriptive and inferential statistics to uncover trends in real-world data.
• Develop clear data visualizations to illustrate findings and support models.
• Annotate or enrich datasets to improve AI model training datasets.
• Draft concise, well-organized summaries of methods and results for non-technical audiences.
• Collaborate asynchronously with stakeholders to clarify requirements and improve deliverables.
• Identify data quality issues and document solutions for dirty or incomplete data.

Skills

Statistical analysis

Data visualization

Technical communication

Remote collaboration

Education

MS/PhD in Statistics/Data Science

Tools

R

Python

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 Philippines.

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.