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Urgent! Data Science & AI Engineer Job Opening In Miraflores – Now Hiring WSP

Data Science & AI Engineer



Job description

Description

¿Quiénes Somos?

WSP es una firma global de consultoría y servicios profesionales, pionera en asesoría estratégica, ingeniería y diseño.

Nuestra presencia multinacional y liderazgo en ingeniería y medio ambiente nos posicionan en la cúspide del sector.

En WSP además valoramos la diversidad e inclusión de personas en situación de discapacidad (Ley 29973), y por ello estamos comprometidos con la equidad y con entregar igualdad de oportunidades a todos nuestros candidatos(as).

Por lo cual, te invitamos a participar en nuestra búsqueda de un(a) Data Science & AI Engineer.

¿Por Qué Trabajar en WSP?

Nuestra visión es ser líderes indiscutibles en nuestro sector, creando entornos sostenibles para el futuro. Estamos comprometidos con un impacto positivo y valoramos la diversidad y la inclusión.

En WSP, fomentamos la curiosidad y la innovación, y queremos que tu experiencia sea inigualable.

Si estás listo para impulsar la inclusión y el desarrollo del talento en nuestra organización, te invitamos a unirte a nuestro equipo de profesionales excepcionales.

¡Tu viaje hacia el impacto y la innovación comienza aquí en WSP!

Principales funciones del cargo:

  • Desarrollar y optimizar algoritmos y procesos ETL/ELT utilizando Python, R o C++ asegurando calidad, eficiencia computacional y escalabilidad.
  • Optimizar operaciones computacionales intensivas de procesos científicos mediante implementación de rutinas C++, pybind11 o Rcpp, especialmente en simulaciones fisicoquímicas y numéricas.
  • Implementar validaciones automáticas y flujos QA/QC aplicados a datos de entrada, predicciones y resultados intermedios en el pipeline analítico.
  • Desarrollar modelos predictivos y sistemas de inferencia basados en Inteligencia Artificial o Machine Learning.
  • Analizar datos con técnicas estadísticas, algoritmos de aprendizaje automático y modelos computacionales avanzados.
  • Participar en la automatización de tareas mediante programación reproducible y modular.
  • Documentar técnicas, scripts y procedimientos según los estándares internos, asegurando una estructura de código limpia, mantenible y fácilmente escalable para futuras integraciones con entornos en la nube (como Azure Web Apps o App Services).
  • Colaborar con equipos multidisciplinarios incluyendo científicos de datos, especialistas en geociencias y tecnologías.
  • Mantener una comunicación fluida con los equipos de E&E.
  • Cumplir con las políticas y procedimientos internos del Sistema Integrado de Gestión de Calidad, Medio Ambiente y de Seguridad y Salud en el Trabajo en las actividades que desempeña, entre otros.
  • Antecedentes profesionales:

  • Bachiller o Titulado de la carrera de Ciencias de la Computación, Ingeniería de Datos o similares.
  • Experiencia mínima de 04 años en desarrollo de soluciones análiticas, simulaciones científicas o procesamiento computacional intensivo o sistemas geocientíficos, ambientales o industriales.
  • Conocimiento de arquitectura de datos escalables y plataformas CI/CD.
  • Interés por el modelamiento geomatemático, simulación o inteligencia artificial aplicada.
  • Dominio de C++ para la construcción de algoritmos de alto rendimiento, con integración a entornos analíticos mediante pybind11, Rcpp u otras herramientas equivalentes.
  • Experiencia en desarrollo con Python (Pandas, NumPy, Scikit-learn, Tensorflow-Keras, SQLAlchemy) y/o R (dplyr, DBI, plumber, tidymodels), orientado a análisis de datos y modelado.
  • Dominio de SQL (modelo relacional, índices, constrainst, esquemas, vistas, etc.)
  • Entendimiento de ETL-ELT pipelines: limpieza de datos, transformación<-> carga.
  • Familiaridad con diseño y consumo de REST APIs.
  • Manejo básico de Git (clone, pull, commit, branching).
  • Dominio de herramientas de Inteligencia Artificial.
  • Qualifications

    #Perú

    #LI-VE1


    #LI-Hybrid


    Required Skill Profession

    Mathematical Science Occupations



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      Unlock Your Data Science Potential: Insight & Career Growth Guide


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      • 7. Obeying Peru laws and regulations
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    • Interview Tips for Data Science & AI Engineer Job Success
      WSP interview tips for Data Science & AI Engineer

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the WSP'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.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • 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 Data Science & AI Engineer interview at WSP, 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 WSP'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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