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Job Information
Dow Jones Data Science Manager in BARCELONA, Spain
Job Description: About 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. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).
About the Role
Dow 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, 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. 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.
Proficiency in Git for collaborative project development and version control.
Proficiency in cloud-based infrastructure and managing large datasets.
Familiarity with software engineering best practices, ensuring the development of secure, scalable, and efficient production systems.
Our Benefits
Hybrid working, ability to work from home 2 days per week #LI-hybridComprehensive Healthcare Plans
Wellbeing assistance
Meal Vouchers
Desplazamiento policy flexible working policy (individual's right to work applies)
Generous pension plan
Comprehensive Medical, Dental and Vision Insurance Plans
Education Benefits
Generous Paid Maternity and Paternity Leave policy
Family Care Benefits
Newscorp subscription Discounts
Employee Referral Program
Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Business Area: Dow Jones - Technology
Job Category: Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News.
This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.
If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.
Req ID: 42348