.Excited to grow your career? BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.Learn more about the area: At BBVA AI Factory, we operate as a global hub within the Data area of BBVA, with development centers in Spain, Mexico, and Turkey. Our mission is to build complete, end-to-end data products that solve BBVA's business needs by working closely with business units to transform strategic priorities into actionable, data-driven solutions.About the job: At BBVA AI Factory, we're seeking an Expert Data Scientist to join our dynamic team in Madrid. Our team thrives on collaboration and innovation, tackling complex challenges in finance with state-of-the-art AI solutions. Whether it's developing explainable algorithms or building AI pipelines to improve debt recovery, we focus on creating real-world impact. As part of our team, you'll build end-to-end data products that incorporate cutting-edge AI to enhance key banking processes. Collaborating with a diverse group of experts, you'll help develop a new AI-supported customer relationship model that benefits both customers and managers. Key job responsibilitiesLead Analytical Projects: Manage and execute key analytical projects within the DATA area, aligning with strategic objectives, while leading analytical teams to ensure successful project delivery.Data Analysis: Analyze large and complex data sets to uncover trends and insights that drive business decisions.Model Building: Develop predictive models using statistical and machine learning techniques.Cross-Functional Collaboration: Work closely with product managers, engineers, and designers to implement data-driven solutions.Insight Communication: Present findings and recommendations to stakeholders across the organization.Mentorship: Guide and mentor less experienced team members to foster growth and success.Best Practices Compliance: Ensure all deliverables meet Advanced Analytics governance standards and best practices.Your QualificationsEducation: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Experience: 5+ years of experience working as a Data Scientist in multidisciplinary projects.Databases: Strong SQL skills; experience with relational databases.Programming: Strong skills in programming languages like Python, PySpark, R.ETL Development: Ability to design efficient data extraction, cleaning, and transformation processes.Applied Machine Learning: Deep knowledge of a broad set of machine learning techniques applied to solve complex business problems, including A/B testing for model performance
