Remote Statistician for AI Training Data

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

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.