Job Description:
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 our 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 businesses 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 evaluating Machine Learning models related to Cybersecurity.
Operationalizing models and tasks to improve detection use cases.
EXPERIENCE
- 3 years of relevant experience in Data Scientist role with a strong background in 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 of 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.
Idiomas:
- Spanish
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