Data Science Manager – Classification & AI

About the role

We are looking for a Data Science Manager to lead the ASIN Classification team within WAVE (World Wide AI Enablement). In this high‑impact role you will guide a group of applied scientists, data scientists and engineers to design, deploy and operationalise machine‑learning models that classify millions of ASINs for compliance programs.

Key responsibilities

• Lead and manage a multidisciplinary team, fostering innovation, scientific rigor and operational excellence.
• Define the science roadmap and prioritize classification initiatives across compliance programs.
• Own end‑to‑end delivery of solutions, from problem framing and data strategy to model deployment and production monitoring.
• Make architecture decisions on model selection, feature engineering from product catalogs and evaluation metrics.
• Translate large‑scale compliance challenges into well‑scoped data‑science workstreams.
• Collaborate with business, product, engineering and operations to align science investments with priorities.
• Build scalable data environments and ML pipelines for training, evaluation, shadow testing and inference at scale.
• Mentor team members through career coaching, technical guidance and growth plans.
• Communicate technical concepts to non‑technical stakeholders and senior leadership.
• Ensure zero‑disruption deployments, data‑quality standards and robust experimentation practices.

Required profile

• Master’s degree in computer science, mathematics, statistics, machine learning or a related quantitative field; PhD is a plus.
• 8+ years of experience in data science or applied machine learning, with at least 3 years in a people‑management role.
• Deep knowledge of machine‑learning and LLM fundamentals, including transformer architectures and training/inference lifecycles.
• Proven track record delivering ML solutions at scale in production environments.
• Strong programming proficiency in Python and SQL, and familiarity with big‑data technologies such as Spark and AWS services.
• Experience with multi‑modal learning involving text, image and structured data.

Required skills

• Python
• SQL
• Apache Spark
• AWS services
• Transformer architecture
• Large language models (LLM)
• Multi‑modal learning (text, image, structured data)