Data Scientist at Dow Jones

Barcelona, Catalonia, Spain

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, News, PublishingIndustries

Requirements

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

Responsibilities

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

Skills

Machine Learning

Natural Language Processing

Data Pipelines

Data Analysis

Dow Jones

Provides business news and financial data

About Dow Jones

Dow Jones provides business news, financial information, and data intelligence to financial firms, professionals, and investors globally. Its main products include the Wall Street Journal, Dow Jones Newswires, and Factiva, which offer timely news, exclusive insights, and comprehensive data sets. Additionally, Dow Jones offers risk and compliance solutions to help businesses navigate issues like anti-money laundering and economic sanctions. Unlike many competitors, Dow Jones focuses on a subscription-based model, data licensing, and advertising revenue, utilizing its extensive media and data resources to equip clients with the necessary information for informed decision-making.

New York City, New YorkHeadquarters

1881Year Founded

ACQUISITIONCompany Stage

Fintech, Financial ServicesIndustries

5,001-10,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Comprehensive Healthcare Plans

Comprehensive Medical, Dental and Vision Insurance Plans

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Time Off

Paid Vacation

Paid Maternity and Paternity Leave

Family Care Benefits

Family Care Benefits & Caregiving Support

Commuter Transit Program

Subscription Discounts

Employee Referral Program

Education Benefits

Retirement Plans

Comprehensive Insurance Plans

Lifestyle programs & Wellness Resources

Risks

Competition from digital-native platforms like Bloomberg and Reuters is increasing.

AI-generated content threatens traditional journalism models.

Subscription fatigue may impact Dow Jones' revenue model.

Differentiation

Dow Jones offers a unique blend of news, data, and risk compliance solutions.

The Wall Street Journal is America's largest newspaper by total average circulation.

Dow Jones provides content in 28 languages, enhancing global reach.

Upsides

Increased demand for real-time financial news boosts subscription-based services.

AI-driven journalism tools enhance content creation and personalization.

Growing importance of ESG data creates opportunities for expanded offerings.

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