Data Scientist

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.

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 70+ 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!

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.

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.