Statistician

RemoteJobsOne; Zürich; Remote; CHF 69.000 - 138.000; Teilzeit

Zusammenfassung

RemoteJobsOne is seeking a Statistician for a fully remote contractor role in Switzerland. You will clean and preprocess complex datasets, perform descriptive and inferential analyses, and create clear visualizations to support AI model training.

Strong communication skills and experience with large, noisy data are preferred. Candidates should have an MS or PhD in a quantitative field and be proficient in Python or R, with experience in SAS or Stata.

Qualifikationen

• Advanced degree in Statistics, Data Science, Mathematics or related quantitative field.
• Experience cleaning and preparing complex datasets with R, Python, SAS or Stata.
• Proficiency in descriptive and inferential statistics including hypothesis testing and regression.
• Strong programming skills in Python or R for analysis, data manipulation and visualization.
• Able to communicate complex findings to both non-technical and technical audiences with clarity.

Aufgaben

• Clean, preprocess, and structure complex datasets using statistical software (R, Python, SAS, Stata).
• Apply descriptive and inferential statistical analyses to uncover trends in real-world data.
• Develop clear data visualizations to illustrate findings for model development.
• Contribute to dataset annotation, labeling or enrichment for AI model training datasets.
• Draft concise summaries of methods, analyses, and results for non-technical audiences.
• Collaborate asynchronously with stakeholders to clarify requirements and improve deliverables.

Kenntnisse

Data cleaning

Python or R

Data visualization

Statistical analysis

Communication

Ausbildung

MS or PhD in Statistics/Data Science

Tools

R

Python

SAS

Stata

Jobbeschreibung

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 Switzerland.

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.