Statistician

RemoteJobsOne; Roma; Remoto; EUR 73.000 - 145.000; Tempo pieno

Descrizione del lavoro

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in Italy. You will apply advanced statistics to real-world data, train AI systems, and help shape model learning through high-quality inputs.

Responsibilities include cleaning and preprocessing datasets using R, Python, SAS, or Stata; performing descriptive and inferential analyses; creating visualizations; and documenting methods for non-technical audiences.

Competenze

• Advanced degree in a quantitative field.
• Experience cleaning complex datasets with statistical tools.
• Proficiency in descriptive and inferential statistics.

Mansioni

• Clean, preprocess, and structure datasets using statistical software (R/Python/SAS/Stata).
• Apply descriptive and inferential statistics to real-world data.
• Develop data visualizations to illustrate findings for model development.
• Contribute to dataset annotations and enrichment for AI training data.
• Draft concise summaries of methods and results for non-technical audiences.
• Collaborate asynchronously with stakeholders to clarify requirements and deliverables.
• Identify data quality issues and document remediation steps.

Conoscenze

Statistics

Data Cleaning

Data Visualization

Python

R

Hypothesis Testing

Formazione

MS or PhD in Statistics/Data Science/Mathematics

Strumenti

R

Python

SAS

Stata

Descrizione del lavoro

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 Italy.

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.