Statistician en micro1 | WhateverJobs
data

Statistician

micro1

RemoteRecientemente
Remoto LATAM
Acepta LATAMContractor+1 puesto en esta empresa

Resumen: Statistician es una vacante de micro1 en Remote. Es remota y abierta a candidatos desde Latinoamérica (Acepta LATAM). micro1 tiene 1 puesto abierto ahora.

StatisticianStatistical-ScientistStatistics-ExpertStatistical-AnalystStatistical-Data-ScientistStatistics-Research-ScientistApplied-Statistician

Descripción del puesto

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

  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.

Originally posted on Himalayas

AJUSTE A LA OFERTA

¿Tu CV pasa el filtro de esta oferta?

Compara tu CV contra esta oferta. Todo se procesa en memoria, nada se guarda.

Publicado via Himalayas

Aplicar ahora