Statistician

RemoteJobsOne; Brussel; À distance; EUR 73 000 - 146 000; Plein temps

Résumé du poste

RemoteJobsOne is seeking a Statistician for a fully remote contractor role based in Belgium. You will apply statistical expertise to train next-generation AI systems, handling real-world data and contributing high-quality input for model learning.

You will clean, preprocess, and analyze datasets, create clear visualizations, and document methods for a non-technical audience. Strong Python/R skills and advanced degrees are essential.

Qualifications

• Advanced degree in Statistics or related field.
• Experience cleaning and structuring messy datasets.
• Proficiency in descriptive and inferential statistics including regression.
• Strong Python or R programming for analysis and visualization.
• Ability to communicate findings to non-technical audiences.
• Experience with large unstructured datasets.

Responsabilités

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

Connaissances

Statistical analysis

Big data handling

Python

R

SAS

Stata

Data visualization

Communication of results

Formation

MS or PhD in Statistics/Data Science

Outils

R

Python

SAS

Stata

Description du poste

This is a fully remote position, open to candidates based in Belgium.

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.