AI Solutions Specialist at Dow Jones

Barcelona, Catalonia, Spain

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, MediaIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related STEM field
3+ years of experience in a data science or applied ML role with a focus on both modeling and pipeline development
Programming skills in Python and experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch)
Experience writing and optimizing SQL queries and handling large datasets
Hands-on experience with cloud infrastructure (preferably AWS), including tools like S3, Glue, Lambda, and Athena
Experience working with APIs, including LLM APIs or external data sources
Familiarity with version control (Git) and reproducible workflows (e.g., notebooks, scripts, containers)
Strong problem-solving skills, attention to detail, and the ability to communicate technical results to non-technical audiences

Responsibilities

Own the development, deployment, and maintenance of machine learning models that automate business workflows and enhance reporting capabilities
Build and maintain data pipelines that support high-volume data processing, enrichment, and model training using Python, SQL, and cloud services
Work with stakeholders to define business problems and translate them into well-scoped, technical ML solutions
Analyze and clean large datasets to optimize reusable ML models
Apply NLP and information retrieval techniques to extract structured information from unstructured text content
Leverage APIs (including LLM APIs) for data enrichment, preprocessing, or model integration where appropriate
Deploy models and automation tools using cloud-based services (AWS and GCP)
Document workflows, validate results, and follow best practices for model performance, versioning, and reproducibility
Collaborate cross-functionally with business, product, and engineering teams to integrate models into production workflows

Skills

Key technologies and capabilities for this role

PythonSQLAWSGCPNLPMachine LearningInformation RetrievalLLM APIsData PipelinesStatistical Analysis

Questions & Answers

Common questions about this position

What programming skills and tools are required for this role?

The role requires programming skills in Python and experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch, along with experience writing and optimizing SQL queries.

What cloud platforms and experience is needed?

Hands-on experience with cloud infrastructure, preferably AWS, including tools like S3, Glue, Lambda, and Athena, is required, along with deploying models using AWS and GCP.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What education and experience make a strong candidate?

A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related STEM field, plus 3+ years of experience in a data science or applied ML role with focus on modeling and pipeline development, are required for strong candidates.

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