Statistician

RemoteJobsOne; São Paulo; Teletrabalho; BRL 431 000 - 861 000; Tempo parcial

Resumo da oferta

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in Brazil. The expert will help train AI systems by cleaning datasets, performing analyses, and creating visualizations.

Strong data handling and communication skills are essential for documenting methods and results for non-technical audiences. Responsibilities include preprocessing messy data, applying statistical techniques, and contributing to AI training datasets while collaborating

Qualificações

• Advanced degree in Statistics, Data Science, Mathematics or related field.
• Experience cleaning and structuring complex datasets.
• Proficiency with statistical methods (descriptive, inferential, regression).
• Strong coding skills in Python or R for analysis and visualization.
• Ability to communicate findings to both technical and non-technical audiences.
• Experience handling large, noisy data in remote settings.

Responsabilidades

• Clean, preprocess, and structure complex datasets using statistical software (R, Python, SAS, Stata).
• Apply descriptive and inferential analyses to real-world data.
• Create clear data visualizations to support model development.
• Annotate and enrich datasets for AI model training.
• Draft concise summaries of methods and results for non-technical readers.
• Collaborate asynchronously with stakeholders to clarify requirements.

Conhecimentos

Statistical analysis

Python

R

Data visualization

Communication

Remote collaboration

Formação académica

MS/PhD in Statistics or related

Ferramentas

R

Python

SAS

Stata

Descrição da oferta de emprego

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

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.