Data Scientist

Applus+ IDIADA; Querol; Híbrido; EUR 35.000 - 50.000; Jornada completa

Descripción de la vacante

Applus+ IDIADA busca un ingeniero de ciencia de datos que se una a su equipo dinámico y multicultural. Este rol implica el desarrollo de soluciones digitales innovadoras en un entorno ágil y colaborativo. Se requiere experiencia en Python y técnicas de aprendizaje automático, así como un enfoque en el análisis de grandes datos para mejorar los procesos internos.

Servicios

Flexible hybrid work model

Subsidized canteen

Free language courses

Transport and coaching services

Formación

• Experiencia de más de 2 años en proyectos de ciencia de datos.
• Conocimientos sólidos en fundamentos y técnicas de ciencia de datos, aprendizaje automático y profundo.
• Experiencia en gestión de datos y modelado.

Responsabilidades

• Desarrollar, entrenar y validar modelos de ML/DL.
• Colaborar con un equipo en un entorno ágil con Scrum.
• Participar en el diseño e implementación de aplicaciones para la industria automotriz.

Conocimientos

Python

Machine Learning

Data Modeling

Reinforcement Learning

Deep Learning

Educación

Degree in Computer Science

Master Degree in Data Science

Herramientas

PyTorch

Keras

TensorFlow

SciPy

Scikit-learn

AWS

Descripción del empleo

Company Description

Shaping the Future of Automotive Engineering

Applus+ IDIADA is a global leader in automotive engineering, offering a dynamic and rewarding career opportunity for professionals passionate about shaping the future of mobility. As a TOP Employer certified company with over 3500 professionals from more than 24 countries, we provide a diverse and inclusive work environment that fosters innovation and growth with colleagues from over 55 nationalities contributing to a safer, more efficient, and sustainable vehicles.

Why join us?

Enjoy a highly flexible hybrid work model in a company that takes care of the employees’ wellbeing, offering work-life balance benefits such as subsidized canteen, free language courses, transport and coaching services.

Join a company that has a deep commitment to sustainability and push yourself to reach your full potential in a dynamic and challenging setting that values innovation and expertise.

Come & join us on the road to success.

Job Description

Digital Business team works to develop the most promising digital solutions for the global products and proccess and to organize IDIADA information and provide a useful, fast and reliable way to exploit it by IDIADA Group and our clients, being recognized as the most digital, innovative and customer-oriented company, reducing the cost of the digital operations and increasing the value and the portfolio of the services.

What can we offer you?

• Join a young dynamic and multicultural team of 60+ Software Engineers and 10+ Data Scientists
• Collaborate with a highly passionate team, committed to achieve high standards software
• Work in an agile environment with Scrum, code review, retrospective meetings and constant innovation
• Participate in the design, implementation and validation of apps and tools for the automotive industry
• Be part of a large growing organization
  
  

What are we are looking for?

We are looking for one data scientist engineer with experience on both; data modelling and reinforcement learning technics to join our DataLab team and support specifically our internal customer needs.

To succeed at this job you will need to understand real world (big) data, develop code in python to design, train, verify, validate, deploy and operate efficient ML/DL models.

If you like to dive deeper in real world data, look for trends, patterns, develop software and make predictions, this is the right job for you!

Qualifications

Profile

• Demonstrated experience coding in python with data science and ML most used libraries
• 2+ year experience in data science projects
• Strong knowledge in data science / machine learning / deep learning fundamentals and techniques
• Special emphasis on Reinforcement Learning knowledge and experience
• Special emphasis on big data management and data modeling through data science processes:
• Conventional machine learning with SciPy, Scikit-learn
• Deep learning data modeling using various frameworks: PyTorch, Keras, TensorFlow
• Different network topologies: Neural Networks (NN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformers
• Knowledge or experience in AWS Cloud environment tools are an advantage
  
  

Education

• Degree in Computer Science, Software Engineering, mathematics applied to computer science or similar
• Specific Master Degree in Data Science is an advantage
  
  

Languages

• Fluent in Spanish and English.
  
  

Additional Information

Applus IDIADA is committed to equality, diversity and inclusion. We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.