Statistician

Remote | Contractor

Annualized Equivalent: $124,800–$249,600/year based on 40 hours/week
Hourly Rate: $60–$120/hour

About the Role

Apply your statistical expertise to complex, real-world datasets and data-driven challenges. This opportunity is suited to statisticians and quantitative professionals who can work with messy or incomplete data, apply sound statistical methods, communicate findings clearly, and translate analysis into practical insights.

You’ll contribute statistical expertise to a project focused on advancing data-driven solutions, including dataset preparation, analysis, visualization, annotation, and evaluation. Prior AI experience is not required.

Key Responsibilities

Data Preparation & Quality

• Clean, preprocess, and structure complex and messy datasets.

• Identify missing, incomplete, inconsistent, or otherwise problematic data.

• Apply appropriate techniques to prepare datasets for analysis.

• Document data-quality issues and the approaches used to address them.

• Provide actionable recommendations for improving data quality.

Statistical Analysis

• Apply descriptive and inferential statistical techniques to real-world datasets.

• Analyze trends, patterns, and relationships within data.

• Conduct hypothesis testing and regression analysis where appropriate.

• Clearly document analytical methods, assumptions, and results.

Data Visualization

• Develop clear and compelling visualizations to communicate key findings.

• Select appropriate visualization approaches based on the data and analytical objective.

• Use visual analysis to support interpretation and data-driven decision-making.

Dataset Annotation & Enrichment

• Contribute statistical expertise to dataset annotation, labeling, and enrichment.

• Support improvements to the quality and structure of datasets used for model training.

• Apply consistent standards when reviewing and enriching data.

Communication & Documentation

• Prepare concise, well-organized summaries of statistical methods, analyses, and results.

• Translate complex findings into language accessible to non-technical audiences.

• Communicate effectively with both technical and non-technical stakeholders.

• Collaborate asynchronously to clarify requirements and resolve ambiguities.

Required Skills & Experience

• Strong experience cleaning, preprocessing, and preparing complex or messy datasets.

• Proficiency in Python or R for statistical analysis, data manipulation, and visualization.

• Working knowledge of descriptive and inferential statistics.

• Experience with statistical techniques such as hypothesis testing and regression analysis.

• Ability to identify and resolve data-quality issues involving dirty, incomplete, noisy, or unstructured data.

• Strong data visualization capabilities.

• Ability to communicate statistical findings clearly to non-technical audiences.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication.

• Strong documentation skills and attention to detail.

• Ability to work independently and collaborate effectively in a remote environment.

Statistical & Technical Tools

Experience with one or more of the following:

• Python

• R

• SAS

• Stata

• Statistical analysis tools

• Data manipulation and preparation tools

• Data visualization tools

Preferred Qualifications

• MS or PhD in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field.

• Experience working with large, unstructured, or noisy datasets.

• Experience across multiple data domains.

• Experience with dataset annotation, labeling, or enrichment.

• Strong ability to document analytical processes and communicate results with clarity and precision.

Core Skills

• Data Cleaning & Preparation

• Dirty Data Analysis

• Descriptive Statistics

• Inferential Statistics

• Hypothesis Testing

• Regression Analysis

• Statistical Modeling

• Python

• R

• SAS

• Stata

• Data Manipulation

• Data Visualization

• Data Quality

• Dataset Annotation

• Data Labeling

• Data Enrichment

• Statistical Documentation

• Analytical Problem-Solving

• Technical & Non-Technical Communication

Compensation

Annualized Equivalent: $124,800–$249,600/year based on 40 hours/week
Hourly Rate: $60–$120/hour

Role Details

• Role Type: Contractor

• Work Arrangement: Fully Remote

• Focus: Statistical analysis, data cleaning, data quality, visualization, dataset annotation, and analytical documentation

• AI Experience: Not required