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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying data science and AI solutions, with a strong focus on predictive modeling, machine learning, and compliance with data governance. Capable of translating complex data insights into actionable recommendations for stakeholders while managing cross-functional dependencies.
Highest-signal resume keywords
Data Science Solutions DevelopmentMachine Learning Model DeploymentPython ProgrammingSQL ProficiencyCloud Data Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningStatistical AnalysisData VisualizationPredictive ModelingOptimizationExperimentationMLOpsData GovernanceKPI Definition
Soft Skills
CommunicationCollaborationChange Management
Industry Keywords
Generative AICross-Functional EnvironmentsData ReadinessValue TrackingCompliance
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead the design, development and industrialization of data science and AI solutions
- Frame high-value business problems and define data science approaches, success criteria and measurable KPIs
- Build, validate and deploy predictive, optimization and machine learning models
- Contribute to Generative AI and agent-based use cases
- Translate data insights into recommendations and decision-ready narratives for senior stakeholders
- Partner with Data for AI and AI Tech, Risk, Compliance and Operations
- Deliver reusable, scalable solutions and manage dependencies across initiatives
- Establish model documentation, monitoring and performance standards
- Ensure accuracy, explainability, responsible AI and compliance with data and AI governance
- Support portfolio prioritization by assessing feasibility, data readiness, investment needs, value potential and adoption requirements
- Promote solution uptake through training and change management
Requirements
What you’ll need- At least 7 years of professional experience as a Data Scientist, Analytics Specialist, Machine Learning Engineer or comparable data-focused role
- Demonstrated experience delivering end-to-end analytical or AI solutions in complex, cross-functional environments, from problem definition through production deployment and value tracking
- Strong hands-on skills in Python and SQL, statistical analysis, machine learning, experimentation and data visualization
- Experience with cloud data platforms and MLOps is strongly valued
- Ability to work with large, imperfect data sets and communicate technical concepts clearly to non-technical audiences
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics or a related quantitative discipline
- Professional fluency in English
- Employment eligibility to work with BBVA in the U.S. is required; the company will not pursue visa sponsorship
Benefits
Comp & perks- Generous employee benefits package
- Discretionary bonus
- Equal employment opportunity and affirmative action employer