Data Scientist | Remote

Crossing Hurdles; La Réunion; Sur place; EUR 48 000 - 65 000; Plein temps

Résumé du poste

Crossing Hurdles is seeking a data statistician to clean, preprocess, and structure complex datasets for advanced analysis. You will apply descriptive and inferential statistics to uncover trends and develop visualizations that illustrate key findings and support model development.

The role involves dataset annotation for AI training, drafting concise method and result summaries for non-technical audiences, and collaborating with stakeholders to refine deliverables.

Qualifications

• Advanced degree in Statistics, Data Science, Mathematics, Biostatistics, or related field.
• Expertise in cleaning and preparing complex datasets with R, Python, SAS, or Stata.
• Proficiency in descriptive and inferential statistical techniques, including hypothesis testing.
• Strong programming skills in Python or R for statistical analysis and data manipulation.
• Ability to communicate complex findings to non-technical audiences clearly.

Responsabilités

• Clean, preprocess, and structure complex datasets using advanced statistical software.
• Apply and document descriptive and inferential statistical analyses to uncover trends.
• Develop data visualizations to illustrate key findings and support model development.
• Contribute expertise in dataset annotation and enrichment for AI model training.
• Draft concise summaries of methods, analyses, and results for non-technical audiences.
• Collaborate with stakeholders to clarify requirements and improve deliverables.

Connaissances

Descriptive statistics

Inferential statistics

Hypothesis testing

Data visualization

Formation

Advanced degree in Statistics/Data Science/Math/Biostatistics

Outils

Python

R

SAS

Stata

Description du poste

• Clean, preprocess, and structure complex datasets using advanced statistical software.
• Apply and document descriptive and inferential statistical analyses to uncover trends.
• Develop data visualizations to illustrate key findings and support model development.
• Contribute expertise in dataset annotation and enrichment for AI model training.
• Draft concise summaries of methods, analyses, and results for non-technical audiences.
• Collaborate with stakeholders to clarify requirements and improve deliverables.

Requirements

• Advanced degree in Statistics, Data Science, Mathematics, Biostatistics, or a related field.
• Expertise in cleaning and preparing complex datasets with R, Python, SAS, or Stata.
• Proficiency in descriptive and inferential statistical techniques, including hypothesis testing.
• Strong programming skills in Python or R for statistical analysis and data manipulation.
• Ability to communicate complex findings to non-technical audiences with clarity.