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Urgent! Part-time Data Science Code Reviewer LATAM Job Opening In Lima – Now Hiring TripleTen

Part time Data Science Code Reviewer LATAM



Job description

📚 es el bootcamp #1 en EE.

UU.

y LATAM que empodera a las personas, sin importar su experiencia previa, para embarcarse en el emocionante y desafiante camino de dominar profesiones tecnológicas.

Nuestros bootcamps se enfocan en capacitar a los estudiantes en ingeniería de software, ciencia de datos, analítica de inteligencia de negocios y QA engineering de una manera accesible y viable, llevándolos finalmente a prosperar en una nueva carrera.


🚀Nuestra misión es garantizar que cada estudiante tenga la oportunidad de dominar con éxito una nueva profesión, encontrar su propósito y convertirse en un miembro valioso de la industria tecnológica.


A quién buscamos:

Para el programa de Ciencia de Datos, estamos buscando un/a científico/a de datos con experiencia para revisar los proyectos individuales de nuestros estudiantes y ayudarlos a convertirse exitosamente en profesionales.


Por favor, envía todos los currículums o CVs en inglés.

Ten en cuenta que, después de postularte a esta posición, se te pedirá que completes una prueba después de tu llamada introductoria en línea.



What you will do:
  • Revisa el código de los estudiantes y proporciona retroalimentación (puede revisarse en cualquier momento; la carga de trabajo depende de la actividad de los estudiantes).
  • Otorga créditos de acuerdo con los resultados de las tareas.
  • Brinda consejos para mejorar el código, señala cualquier inexactitud y destaca los errores.


What we can offer you:
  • Colaboración totalmente remota y flexible (aproximadamente 30 horas semanales, 5 días a la semana).
  • Pago fijo de 1500 USD brutos por mes.
  • Capacitación en revisión de código y técnicas de comunicación.
  • Posibilidad de realizar revisión de código para los estudiantes mientras desempeñas tu trabajo principal.
  • Compartir experiencia con desarrolladores en nuestra comunidad.
  • Experiencia en colaboración intercultural en mentoría y realización de seminarios web.
  • Oficina digital cómoda.

    Usamos herramientas digitales modernas — Miro, Notion, Zoom, etc.

    — para que el proceso de trabajo conjunto sea fluido.
  • Equipo diverso y unido, distribuido por EE.

    UU.

    y LatAm.

  • Experiencia trabajando como analista usando Python.
  • Experiencia en proyectos de machine learning por más de un año.
  • Familiaridad con las bibliotecas Pandas, NumPy, Matplotlib y Sklearn.
  • Disponibilidad para dedicar al menos 30 horas a la semana a revisar el código de los estudiantes.
  • Inglés intermedio, español competente.


Required Skill Profession

Mathematical Science Occupations



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