Data Science Manager

hace 4 semanas

Barcelona, España Dow Jones & Company, Inc. A tiempo completo

.Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally.About the RoleDow Jones is looking for an experienced Data Science Manager to lead our team of data scientists. You will be responsible for managing the design, development, and maintenance of machine learning solutions to support various AI use cases, including those focused on Natural Language Processing. You will collaborate closely with our team of engineers to seamlessly integrate a variety of machine learning models, such as large language models (LLMs), into our systems.As a leader within the AI Engineering Team, you will be deeply involved in every aspect of AI project development process, from ideation and building proofs of concept to production launch and on-going development. You will lead the team, ensuring our data science programs deliver high-quality AI solutions on time and within budget.You Will:Lead a team of data scientists to construct and maintain robust AI/ML pipelines, coordinating with vendors for cutting-edge technologies.Translate business requirements into technical solutions, working with the stakeholders across the company.Facilitate close collaboration within the AI Engineering Team to integrate ML models into our systems, covering pre-processing, fine-tuning, and deployment.Lead the analysis and refinement of large datasets to enhance reusable models, demonstrating analytical expertise and strategic insight.Drive efforts to optimize ML model performance through in-depth data analysis and validation in real-world applications.Lead NLP modeling and algorithm development, showcasing leadership in innovation.Develop data enrichment pipelines aligned with strategic goals, delivering tangible value.Stay updated on advancements in ML, NLP, and IR technology, incorporating emerging trends for continuous improvement.Provide mentorship and guidance to foster collaboration and professional development within the AI Engineering Team.You Have:Bachelor's or Master's degree in Computer Science, Engineering, Data Science, a related STEM field or relevant experience in the field.Experience with leadership and hands-on technical expertise within the field of AI, ML, or data science, with at least 3 years of leadership experience.Proficiency in Python and/or other high-level programming languages commonly used in machine learning.Proven experience with ML and NLP frameworks and libraries (e.G. PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).Demonstrated expertise in information retrieval, utilizing NLU techniques for structured data extraction.Experience with LLMs APIs, including pre-processing and deployment on cloud-based infrastructure

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