Statistician

RemoteJobsOne; Madrid; A distancia; EUR 73.000 - 145.000; A tiempo parcial

Descripción de la vacante

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in Spain. You will clean and analyze real-world datasets, create visualizations, and document methods for non-technical audiences. Strong Python or R skills and experience handling messy data are preferred. Collaboration in a remote setting is essential.

The role focuses on contributing expert knowledge to AI model training, with emphasis on clear communication and rigorous data quality practices.

Formación

• MS or PhD in a quantitative field completed.
• Experience cleaning messy datasets.
• Proficiency in Python or R for analysis and visualization.
• Ability to explain methods to non-technical audiences.
• Experience creating data visualizations and reports.

Responsabilidades

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

Conocimientos

Data storytelling

Remote collaboration

Statistical reasoning

Educación

MS or PhD in Statistics or related quantitative field

Herramientas

Python

R

SAS

Stata

Descripción del empleo

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

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.