Job description
Overview
We are looking for a results-oriented, enthusiastic and self-motivated data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and/or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties.
About the job
BBVA is leading the digital transformation in banking, and we believe that Data is a main asset for achieving market differentiation. Client Solutions Advanced Analytics (CSAA) is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. CSAA is a Global unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).
Key responsibilities:
- Collaborate with key internal and external stakeholders to gather and understand needs and requirements.
- Develop clean, simple and creative code to manipulate large datasets.
- Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs.
- Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences.
- Collaborate with IT teams to convert analytical proof of concepts into productive models
About you
Preferred Qualifications:
- MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject.
- Working knowledge of the financial industry products/services and operations is a plus.
- Working experience with insurance is desirable.
Required Skills and Experience:
- Solid foundations in areas like (the more the better)
- Statistical analysis is a MUST.
- Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus.
- Time series analysis is a plus.
- Natural language processing is a plus.
- Graph analysis is a plus.
- Optimization is a plus.
- Signal and/or image processing is a plus.
- Knowledge/experience with LLM’s use cases is a plus
Programming experience:
- Excellent programming skills and experience developing production-quality software.
- Experience with SQL, Python, PySpark is a MUST (at least, two of them).
- Real experience in designing and implementing analytical solutions with different programming libraries is a MUST.
- Knowledge of visualization tools and libraries is a plus.
- Experience with deep learning frameworks is a plus.
- Strong business sense to put data in perspective, and extract meaningful conclusions.
- Ability to translate academic results from scientific papers into actionable solutions
- Natural inclination for sharing findings and engaging in problem-solving with teammates, helping them with their challenges, and asking for their help when needed.
- Advanced level of English and Spanish.
- 4+ years of professional experience (data scientist, business intelligence, consulting…).
- Availability to travel eventually
