
Senior Data Scientist
- Comunidad de Madrid
- Permanente
- Tiempo completo
- Collaborate with Business Units to have a deep understanding of the business problem that AI and Machine Learning may solve.
- Provide technical expertise in the use cases execution, collaborating with IT to achieve optimal solutions.
- Support the Product Owner in defining the scope and measurable metrics to evaluate the results of the solution to be built.
- Work with architects to move from the scope of the MVP to the final picture in terms of data.
- Take ownership of the AI/ML and data components in the MVPs implementation to develop rapid data solutions that address user needs.
- Work closely with data owners to leverage data to build products.
- Ownership of the projects you will be involved.
- Promote internally and externally the work performed by the DBO Data Team to facilitate discovery of new use cases where to apply AI/ML technologies.
- + 6 years of professional experience in developing AI/ML solutions; experience applied to business problems;
- Educated to degree level in Analytics, Business Intelligence, Data Science, Economics, Engineering or Statistics, or equivalent experience in a professional setting.
- Python programming with focus on Machine Learning applied to prediction, NLP, Computer Vision and/ or Generative AI (must). Other programming languages and platforms will be valued;
- MLOps/ DevOps;
- Statistical knowledge is a plus;
- Demonstrated aptitude for analytics;
- Project management skills or certifications (Scrum Master, PMI, Lean) is a plus;
- Proven record of leadership in a work setting and/or through extracurricular activities;
- Ability to work collaboratively in a team environment;
- Ability to work effectively with people at all levels in an organization;
- Skills to communicate complex ideas effectively;
- Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
- Global and very stable company, world leader in the TIC (Testing, Inspection and Certification) industry.
- Flexible schedule and hybrid/remote work model.
- SGS university and Campus for continuous learning options.
- Multinational environment where you will work with colleagues from multiple continents.
- Benefits platform.