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 opportunitiesVolunteering opportunitiesLearning opportunitiesLead, mentor, and grow a team of data scientists with technical guidance and career developmentOwn end-to-end delivery of large-scale analytics and machine learning initiativesDefine standards for model development, data pipelines, and ML production workflowsOversee design, deployment, monitoring,



and optimization of ML systems in productionPartner with business stakeholders to translate goals into data science roadmaps and measurable outcomesDrive adoption of modern techniques, including Generative AI, when delivering business valueCommunicate progress and impact to both business and technical audiencesMaster’s Degree in Data Science, Computer Science, Statistics, or equivalent5+ years of data science experience with leadership or people-management responsibilityStrong Python skills and ability to guide production-quality ML codeSolid understanding of software engineering, data engineering, and MLOpsExperience with deep learning frameworks (TensorFlow or PyTorch)Strong foundation in statistical and mathematical modelingExperience with cloud-based and distributed computing platformsExperience with Generative AI, including LLMs, prompt engineering, and RAG architecturesleadership and people managementeffective communicationstakeholder collaborationPythonML development and production MLMLOps
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📌 Data Science Associate Manager - Vitoria Gasteiz (Vitoria-Gasteiz)
🏢 PepsiCo
📍 Vitoria-Gasteiz