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Data Science Manager

hace 2 meses

Barcelona, Barcelona, España Dow Jones A tiempo completo

About Our Organization:

Dow Jones is a leading global provider of news and business information, delivering high-quality content to consumers and organizations worldwide across multiple formats, including digital, mobile, and live events.

About the Role:

We are seeking an experienced Data Science Manager to lead our team of data scientists and drive the development of robust AI/ML pipelines.

Key Responsibilities:

  1. Lead a team of data scientists to design, implement, and maintain cutting-edge AI/ML pipelines, collaborating with vendors to leverage the latest technologies.
  2. Translate business requirements into technical solutions, working closely with stakeholders across the organization.
  3. Facilitate close collaboration within the AI Engineering Team to integrate ML models into our systems, covering pre-processing, fine-tuning, and deployment.
  4. Lead the analysis and refinement of large datasets to enhance reusable models, demonstrating analytical expertise and strategic insight.
  5. Drive efforts to optimize ML model performance through in-depth data analysis and validation in real-world applications.
  6. Lead NLP modeling and algorithm development, showcasing leadership in innovation.
  7. Develop data enrichment pipelines aligned with strategic goals, delivering tangible value.
  8. Stay updated on advancements in ML, NLP, and IR technology, incorporating emerging trends for continuous improvement.
  9. Provide mentorship and guidance to foster collaboration and professional development within the AI Engineering Team.

Requirements:

  1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
  2. 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.
  3. Proficiency in Python and/or other high-level programming languages commonly used in machine learning.
  4. Proven experience with ML and NLP frameworks and libraries.