Senior Manager Data Science

Senior Manager Data Science page is loaded## Senior Manager Data Sciencelocations: Madrid: Sevilletime type: Full timeposted on: Posted Todayjob requisition id: JR-018806**Data Science &****Machine Learning Lead****Mission**Leverage AI and Solera’s data assets to develop, deliver, operate, and maintain innovative, production-grade components that make vehicle claims and ownership simpler, faster, and more more efficient for customers and users.**What you will do*** Lead technical direction for computer vision–based vehicle damage detection (classification, detection, segmentation), plus tree-based models and LLM-powered components.* Own the ML roadmap: translate business goals into measurable technical plans, milestones, and KPIs.* Architect scalable data/ML systems on GCP (BigQuery, Dataflow, Vertex AI) to train and serve models across hundreds of millions of images and claims.* Guide high-quality delivery in a monorepo: reviews, standards, design docs, testing, reproducibility, and CI/CD.* Drive production MLOps: containerization, GKE/Cloud Run, observability (Grafana), cost/performance tuning, SLOs.* Shape APIs and services (FastAPI) and internal tools (Streamlit) to accelerate adoption and experimentation.* Engage cross-functionally with product and platform to prioritize impact and de-risk delivery.* Balance leadership and hands-on work; scope of people management and IC work is adaptable to your strengths.* People leadership* Manage, coach, and grow ML Engineers; run 1:1s, feedback, and career development.* Foster a culture of clarity, ownership, and high standards; set technical bar via mentorship and example.* Recruit and onboard top talent; build an inclusive, globally distributed team.**How we work*** Monorepo with strong build system, CI/CD, and code quality practices.* Freedom to choose the best tool for the job; high autonomy and ownership.* Production mindset: reliability, observability, maintainability, measurable impact.**Tech stack*** Python; TensorFlow, PyTorch* GCP: BigQuery, Dataflow, Vertex AI, GKE, Cloud Run, Cloud Deploy* Docker, Kubernetes* FastAPI, Streamlit* Grafana**What you bring*** Proven leadership of ML initiatives from problem framing to production at scale.* Deep experience with CV models (classification, detection, segmentation) and shipping them with TensorFlow/PyTorch.* Strong software engineering and MLOps fundamentals: testing, CI/CD, containers, Kubernetes, monitoring.* Expertise with large-scale datasets and distributed processing on GCP (BigQuery, Dataflow) or similar.* Experience with tree-based models and integrating LLM APIs into production workflows.* Track record of setting technical direction, making pragmatic trade-offs, and delivering measurable outcomes.* Structured problem solving, critical thinking, and a driven, ownership-oriented mindset.* Effective communication across an internationally distributed team.**Nice to have*** Vertex AI pipelines.* GPU optimization and cost/performance tuning for training/inference.* Domain experience in insurance, automotive, or related computer vision applications. #J-18808-Ljbffr