(XK-351) Data Science ManagerLocation: Barcelona, CataloniaBenefits: - Pension plan - Referral program - Dental insurance - Vision insurance - Optional remote workAbout Our Organization: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 Role:Dow Jones is looking for an experienced Data Science Manager to lead our team of data scientists.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 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, or a related STEM 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.
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