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Job description
Dow Jones seeks an experienced Data Scientist to join their AI Engineering Team, focusing on designing and maintaining machine learning pipelines for Natural Language Processing applications. The ideal candidate will collaborate across teams to develop AI solutions, optimize performance, and derive actionable insights from complex datasets.
Primary responsibilities include collaborating with the AI Engineering Team to maintain robust data pipelines, developing machine learning models for information retrieval, analyzing and cleaning large datasets, and integrating diverse ML models into systems to ensure optimal performance and interoperability.
Required experience involves having a Bachelor's or Master's degree in Computer Science or related STEM field, minimum 5 years of industrial data science experience, strong programming skills in Python, expertise in NLP and Machine Learning frameworks, and proven ability to work with unstructured data sources and cloud-based infrastructure.
The role offers an opportunity to work with a prestigious global news and information company, leveraging cutting-edge AI technologies, mentoring junior team members, staying updated on emerging ML trends, and contributing to innovative data-driven solutions across Dow Jones' prestigious brands like Wall Street Journal and Factiva.