Data Scientist

Dow Jones & Company, Inc.; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global information provider is seeking a Data Scientist to join the AI Engineering Team. The successful candidate will design and maintain machine learning pipelines, focusing on Natural Language Processing. Responsibilities include data analysis, model selection, and integrating machine learning solutions. Ideal applicants will have at least 3 years of experience, strong programming skills in Python, and knowledge of machine learning frameworks like PyTorch and NLP tools. The position offers comprehensive benefits and an inclusive workplace.

Servicios

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Wellness Resources

Education Benefits

Formación

• At least 3 years of industrial experience in a data science or machine learning engineering role.
• Demonstrated understanding of techniques for extracting structured data from unstructured sources.
• Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models.

Responsabilidades

• Design, construct, and maintain machine learning pipelines focused on Natural Language Processing.
• Analyze and clean large datasets for optimizing reusable ML models.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Stay updated on AI, ML, and NLP advancements to incorporate into processes.

Conocimientos

Python

Machine Learning

Natural Language Processing

Data Analysis

Version Control (Git)

Educación

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field

Herramientas

PyTorch

HuggingFace

spaCy

NLTK

scikit-learn

Descripción del empleo

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 Team

Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers, and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video, and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.

About the Role

Dow Jones is seeking a skilled Data Scientist to join our AI Engineering Team. You will design, construct, and maintain machine learning pipelines tailored for various AI applications, particularly focusing on Natural Language Processing. Collaborating with our engineering team, you'll integrate machine learning models, optimize performance, and ensure effective real-world application of machine learning solutions.

As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization's needs, and deliver tangible value through actionable outcomes.

You Will

• Collaborate within the AI Engineering Team to maintain robust data pipelines supporting various ML models, focusing on information retrieval applications.
• Analyze and clean large datasets to optimize reusable ML models.
• Partner with stakeholders across the company to translate business requirements into technical solutions.
• Utilize analytical skills for NLP modeling, algorithm selection, and POC development.
• Develop data enrichment pipelines to enhance insights aligned with strategic objectives.
• Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data.
• Integrate diverse ML models into systems, ensuring interoperability and performance optimization.
• Lead efforts to optimize ML model performance through data analysis and validation in real-world applications.
• Stay updated on AI, ML, and NLP advancements, incorporating emerging trends into processes.

You Have

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
• At least 3 years of industrial experience in a data science or machine learning engineering role.
• Strong programming skills in Python and / or another high-level language commonly used in machine learning.
• Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).
• Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval.
• Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure.
• Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).
• Experience with version control systems such as Git.

Our Benefits

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Lifestyle programs & Wellness Resources
• Education BenefitsFamily Care Benefits & Caregiving Support
• Commuter Transit Program
• 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 / Disabled / Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. 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 [e-mail]. 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.

Union Status: Non-Union role

Job Category: Data Analytics / Warehousing & Business Intelligence

Business Area: Dow Jones - Technology

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.

Req ID: 44881

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