Statistician

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 Canada.

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 this role youll 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.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.