Remote Statistician for AI Data Training & Visualization

RemoteJobsOne

Roma

Remoto

EUR 73.000 - 145.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura mirata per questo annuncio — un curriculum e una lettera di presentazione pensati per rispondere alle esigenze dell'annuncio.

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Descrizione del lavoro

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in Italy. You will apply advanced statistics to real-world data, train AI systems, and help shape model learning through high-quality inputs.

Responsibilities include cleaning and preprocessing datasets using R, Python, SAS, or Stata; performing descriptive and inferential analyses; creating visualizations; and documenting methods for non-technical audiences.

Competenze

  • Advanced degree in a quantitative field.
  • Experience cleaning complex datasets with statistical tools.
  • Proficiency in descriptive and inferential statistics.

Mansioni

  • Clean, preprocess, and structure datasets using statistical software (R/Python/SAS/Stata).
  • Apply descriptive and inferential statistics to real-world data.
  • Develop data visualizations to illustrate findings for model development.
  • Contribute to dataset annotations and enrichment for AI training data.
  • Draft concise summaries of methods and results for non-technical audiences.
  • Collaborate asynchronously with stakeholders to clarify requirements and deliverables.
  • Identify data quality issues and document remediation steps.

Conoscenze

Statistics
Data Cleaning
Data Visualization
Python
R
Hypothesis Testing

Formazione

MS or PhD in Statistics/Data Science/Mathematics

Strumenti

R
Python
SAS
Stata

Descrizione del lavoro

RemoteJobsOne is seeking a Statistician for a fully remote contractor role open to candidates based in Italy. You will apply advanced statistics to real-world data, train AI systems, and help shape model learning through high-quality inputs.

Responsibilities include cleaning and preprocessing datasets using R, Python, SAS, or Stata; performing descriptive and inferential analyses; creating visualizations; and documenting methods for non-technical audiences.

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