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


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


  • Job Details

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Unlock Your Part time Potential: Insight & Career Growth Guide


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Are You Looking for Part time Data Science Code Reviewer LATAM Job?

Great news! is currently hiring and seeking a Part time Data Science Code Reviewer LATAM to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TripleTen adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Peru laws and regulations

What Is the Average Salary Range for Part time Data Science Code Reviewer LATAM Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Lima. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Part time Data Science Code Reviewer LATAM?

Key qualifications for Part time Data Science Code Reviewer LATAM typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Part time Data Science Code Reviewer LATAM Job Success

TripleTen interview tips for Part time Data Science Code Reviewer LATAM

Here are some tips to help you prepare for and ace your Part time Data Science Code Reviewer LATAM job interview:

Before the Interview:

Research: Learn about the TripleTen's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Part time Data Science Code Reviewer LATAM interview at TripleTen, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TripleTen's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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