Cybersecurity Data Scientist

hace 1 semana

Boadilla del Monte, Madrid, España Santander A tiempo completo
Cybersecurity Data Scientist - Santander Digital Services

Country:
Spain

WHAT YOU WILL BE DOING

SANTANDER DIGITAL SERVICES is looking for a CYBER DATA SCIENTIST, based in our BOADILLA DEL MONTE (MADRID) office.

WHY YOU SHOULD CONSIDER THIS OPPORTUNITY

Santander Digital Services (SDS) is the team of technology and operations at Santander. We are convinced of the importance of technology that is aligned with the requirements of the business and that out work not only brings value to users, people and communities but also fosters individual creativity. Our team of over 7,000 people in 8 countries (Spain, Portugal, Poland, UK, USA, Mexico, Chile and Brazil) develops and/or implements financial solutions across a broad spectrum of technologies (including Blockchain, Big Data and Angular among others) on all kinds of on-premise and cloud-based platforms.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper.


We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.


WHAT YOU WILL BE DOING


As a
Cyber Data Scientist , you will
be responsible for developing statistical/machine learning models to identify suspicious or malicious behaviors using various data sources.


We need someone like you to help us in different fronts:

  • Data Engineering, ETL processes.
  • Feature Engineering, Cleaning & Data Transformation.
  • Training and evaluate Machine Learning models related to Cybersecurity.
  • Operationalize models and tasks to improve detection use cases.

EXPERIENCE

  • 3 years of relevant experience in Data Scientistrole with a strong background on mathematics and computer science.

EDUCATION

  • University Degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines.
SKILLS & KNOWLEDGE

  • Experience in Machine Learning (Supervised and Unsupervised Learning).
  • Knowledge on Deep Learning and NLP will be appreciated.
  • Experience with Python (Pandas, Numpy, Scikit Learn, matplotlib, etc.).
  • Experience with Spark processing (basics).
  • Linux proficiency (basics & scripting)
  • Good to have: Cloud fundamentals and Cybersecurity knowledge.
  • English: B1 or higher.
LI-PP1

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