Statistician

RemoteJobsOne; México; A distancia; MXN 1.480.000 - 2.959.000; A tiempo parcial

Descripción de la vacante

RemoteJobsOne in Mexico is seeking a Statistician for a fully remote contractor role. You will apply advanced statistics to real-world data, train AI systems, and deliver high-quality analyses to support model development.

You should have an MS or PhD in a quantitative field and strong Python or R skills, plus experience cleaning messy datasets and communicating results to non-technical stakeholders. This role emphasizes collaboration in a remote setting.

Formación

• Advanced degree in a quantitative field is required.
• Experience cleaning and preparing complex datasets with statistical tools.
• Proficiency in descriptive and inferential statistics; regression and hypothesis testing.

Responsabilidades

• Clean, preprocess, and structure complex datasets using R, Python, SAS, or Stata.
• Apply descriptive and inferential statistics to identify trends.
• Create clear data visualizations to illustrate findings.
• Annotate and enrich datasets to improve AI model training data.
• Draft concise summaries of methods, analyses, and results for non-technical audiences.
• Collaborate asynchronously with stakeholders to clarify requirements and deliverables.
• Identify data quality issues and document solutions for handling dirty data.

Conocimientos

Statistical analysis

Data cleaning

Data visualization

Written communication

Verbal communication

Remote collaboration

Educación

MS or PhD in Statistics/Data Science/Mathematics/Biostatistics

Herramientas

Python

R

SAS

Stata

Descripción del empleo

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 Mexico.

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.