Data Science Manager
hace 2 semanas
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 print, digital, mobile, and live events. With over 130 years of experience, Dow Jones has established itself as a trusted source of information, with one of the world's largest news-gathering operations globally.
About the RoleWe are seeking an experienced Data Science Manager to lead our AI Engineering Team. As a key member of our organization, 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.
Key Responsibilities- 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.
- 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 machine 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., TensorFlow, PyTorch, NLTK).
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