AI Data Apps Engineer (Shiny/Streamlit, Python & R)

Talan; Málaga; Presencial; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Life insurance

Lunch and transport card

Online language classes

Smart Office Pack

Descripción de la vacante

Talan Spain is seeking an AI Applications & Data Science Consultant to join a global R&D environment. You will support researchers with data analysis, statistical modelling, predictive insights, and dashboarding.

The role centers on maintaining existing AI tools and developing new data-driven applications using Shiny (R) and Streamlit (Python). You will bridge business users and technical teams, ensuring reliability, scalability, and relevance of analytics solutions.

Formación

• 3–5 years of experience in Python and/or R development.
• Experience with Shiny (R) and/or Streamlit (Python).
• Strong debugging and problem-solving skills.
• Experience maintaining production-level applications.
• Solid knowledge of data manipulation and visualization libraries.
• Ability to work in a bilingual environment (French & English).

Responsabilidades

• Investigate and fix issues in AI algorithms (bugs, performance, data pipeline failures).
• Maintain and improve existing Shiny (R) and Streamlit (Python) applications.
• Ensure stability after platform or dependency updates.
• Develop new interactive modules (dashboards, analytics tools, reporting apps).
• Analyze business needs and translate them into technical solutions.
• Optimize and refactor Python and R codebases.
• Collaborate with data scientists, statisticians, and business users.
• Document all developments and processes (French & English).

Conocimientos

Debugging and problem-solving

Bilingual FR/EN

Herramientas

Shiny (R)

Streamlit (Python)

Git/GitHub

Docker

APIs (FastAPI, REST)

Descripción del empleo

Talan Spain is seeking an AI Applications & Data Science Consultant to join a global R&D environment. You will support researchers with data analysis, statistical modelling, predictive insights, and dashboarding.

The role centers on maintaining existing AI tools and developing new data-driven applications using Shiny (R) and Streamlit (Python). You will bridge business users and technical teams, ensuring reliability, scalability, and relevance of analytics solutions.