Statistician - poste à distance

L'entreprise micro1 recrute : Statistician. Le poste relève de la catégorie Data et analytics et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

L'annonce met en avant Python : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise a publié la rémunération : $60 - $120 par heure. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

Role Title: Statistician Role Type: Contractor Location: Remote micro1 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

* Clean, preprocess, and structure complex and messy datasets using advanced statistical software (such as R, Python, SAS, or Stata).

* Apply and document basic descriptive and inferential statistical analyses to uncover trends and patterns in real-world data.

* Develop clear and compelling data visualizations to illustrate key findings and support model development.

* Contribute expertise in dataset annotation, labeling, or enrichment to enhance the quality of AI model training datasets.

* Draft concise, well-organized written summaries of methods, analyses, and results for a non-technical audience.

* Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through effective written and verbal communication.

* Continuously identify data quality issues, provide actionable recommendations, and document solutions for handling dirty or incomplete data.

Preferred Qualifications

* Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field.

* Expertise in cleaning and preparing complex, messy (“dirty”) datasets with R, Python, SAS, or Stata.

* Proficiency in basic descriptive and inferential statistical techniques, including hypothesis testing and regression analysis.

* Strong programming skills in Python or R for statistical analysis, data manipulation, and visualization.

* Demonstrated ability to communicate complex findings to non-technical and technical audiences with clarity and precision.

* Experience working with large, unstructured, or noisy datasets across a variety of domains.

* Excellent written and verbal communication skills, with a focus on detailed documentation and collaboration in remote environments.

Originally posted on Himalayas