Lead Data Scientist
hace 1 día
About us For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role As a Data Scientist at Xebia, you will work closely with engineering, product, and data teams to deliver our clients scalable and robust data solutions. Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers. Responsibilities Develop, maintain, and optimize data science models using Python and modern ML frameworks. Build and support Next-Generation Sequencing (NGS) data processing pipelines. Analyze large-scale biological datasets, applying statistical and computational techniques. Implement cloud-based data processing workflows using GCP services such as GCS, Cloud Run, GKE, BigQuery, and Dataflow. Design scalable data workflows using Nextflow and other orchestration tools. Collaborate with bioinformatics specialists and engineering teams to translate scientific requirements into technical solutions. Support model evaluation, validation, and deployment in cloud environments. Ensure best practices around reproducibility, documentation, and data quality. What you bring Strong proficiency in Python, including pydantic, PyTorch, and pandas. Hands-on experience designing or maintaining NGS pipelines. Experience with GCP (GCS, Cloud Run, GKE, BigQuery, Dataflow). Solid understanding of SQL and data querying. Practical experience using Nextflow for workflow definition and orchestration. Background in bioinformatics, including handling genomic data and biological datasets. Ability to work collaboratively with cross-functional stakeholders. Excellent communication skills in English (written and spoken). Nice to have Experience operationalizing ML models in cloud or containerized environments. Familiarity with Docker or Kubernetes. Understanding of data governance, reproducible research, and scientific computing standards.
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