Data Science Consultant
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Qualifications and requirements A degree in Computer Science, Engineering, Economics, Mathematics, or another quantitative field. 2+ years of experience in data science, analytics, or a related area. Demonstrable experience with Power BI, Power Query, and the Power Platform, with at least two projects where you built the solution end to end: source connections, data transformation, and reports in production. Experience designing AI agent pipelines that reached production. Working knowledge of Python for data science, including pandas, NumPy, and scikit-learn. This is assessed during the technical test. SQL, plus familiarity with cloud data platforms such as Databricks, Snowflake, BigQuery, Azure, AWS, or GCP. Experience working with messy or low quality data, including preprocessing and statistical analysis. Advanced professional English. This one is a hard requirement, since most client work is in English. The ability to organize a workload, deliver on time with minimal supervision, and give early warning when timelines are at risk. Honesty about what a model can and cannot do. We would rather hear the limitation early than read an overstated result.
Requisitos y Perfil solicitado (Bases Oficiales)
Condiciones y Beneficios
- ✦Planilla con beneficios de ley o contrato internacional USD según régimen.
- ✦Presupuesto para capacitaciones, cursos online y certificaciones.
- ✦Flexibilidad horaria y ambiente multicultural de alto impacto.
