Data Science Associate Manager - Vitoria Gasteiz

As Data Science Manager, you will lead a high-performing team to deliver scalable analytics and ML solutions that drive the company’s Strategy and Transformation agenda. You will own the technical vision, execution, and adoption of data science initiatives in partnership with business and technology leaders. You will translate strategic goals into roadmaps, oversee production ML systems, and promote a data-driven culture. This role offers the opportunity to shape impactful analytics at scale and to advance Generative AI capabilities across the organization.

• Professional growth opportunities
• Volunteering opportunities
• Learning opportunities
• Lead, mentor, and grow a team of data scientists with technical guidance and career development
• Own end-to-end delivery of large-scale analytics and machine learning initiatives
• Define standards for model development, data pipelines, and ML production workflows
• Oversee design, deployment, monitoring, and optimization of ML systems in production
• Partner with business stakeholders to translate goals into data science roadmaps and measurable outcomes
• Drive adoption of modern techniques, including Generative AI, when delivering business value
• Communicate progress and impact to both business and technical audiences
• Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
• 5+ years of data science experience with leadership or people-management responsibility
• Strong Python skills and ability to guide production-quality ML code
• Solid understanding of software engineering, xcskxlj data engineering, and MLOps
• Experience with deep learning frameworks (TensorFlow or PyTorch)
• Strong foundation in statistical and mathematical modeling
• Experience with cloud-based and distributed computing platforms
• Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures
• leadership and people management
• effective communication
• stakeholder collaboration
• Python
• ML development and production ML
• MLOps

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