Data Scientist

hace 4 meses


Mexico City Match Consulting A tiempo completo

Inversora de bienes raíces se encuentra en busqueda de un perfil como Data Scientist.


Responsabilidades:

  • Análisis de Datos: Recopilar, procesar y analizar datos relevantes del proceso de desarrollo de una construccion y de los proyectos en curso.
  • Desarrollo de Modelos Predictivos: Crear modelos estadísticos y de machine learning para predecir tendencias del proyecto, mercado, medidas de calidad y optimizar procesos.
  • Extracción de Insights: Identificar patrones y tendencias a partir de los datos para proporcionar recomendaciones estratégicas.
  • Colaboración Multidisciplinaria: Trabajar junto a ingenieros de software, project managers y otros stakeholders para integrar soluciones de IA en los procesos de negocio.
  • Visualización de Datos: Diseñar y presentar visualizaciones claras y efectivas de los datos para comunicar hallazgos a equipos no técnicos.
  • Mejora Continua: Evaluar y mejorar continuamente los modelos y procesos de análisis de datos.
  • Cumplimiento y Ética: Asegurar que los análisis y el manejo de datos cumplan con las regulaciones de privacidad y seguridad de datos.
  • Integración de Datos: Trabajar con APIs para la centralización y gestión de datos desde múltiples fuentes.


Requisitos:

Licencitura en Ciencias de la Computación, Estadística, Matemáticas, Ingeniería o un campo relacionado. (Titulado)

Mínimo 4 años de experiencia en análisis de datos y desarrollo de modelos predictivos, preferiblemente en el sector inmobiliario o en proyectos de inteligencia artificial.

Conocimientos Técnicos:

-  Dominio de lenguajes de programación como Python, R, SQL.

-  Experiencia con herramientas y bibliotecas de machine learning (por ejemplo, TensorFlow, Scikit-learn, PyTorch).

-  Familiaridad con plataformas de big data (por ejemplo, Hadoop, Spark).

-  Conocimiento en técnicas de análisis estadístico y minería de datos.

-  Habilidad para trabajar con APIs para la centralización de datos desde diversas fuentes.

Habilidades de Visualización:

-Experiencia en herramientas de visualización de datos como Tableau, Power BI o D3.js.

Habilidades Analíticas: wCapacidad para abordar problemas complejos y proporcionar soluciones basadas en datos.

Habilidades Blandas: Excelentes habilidades de comunicación para explicar conceptos técnicos a audiencias no técnicas.

-      Habilidad para trabajar de manera colaborativa en equipos multidisciplinarios.

-      Mentalidad analítica y atención al detalle.

Dominio del inglés y español, tanto escrito como hablado.



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