AI Solutions Specialist

Dow Jones is looking for an AI Solutions Specialist to join our Automation & Reporting team. You will design, construct, integrate and maintain AI Solutions into the existing and new workflows to optimize processes across our B2B Risk and Research teams.

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 report to the Director, Automation & Reporting.

You Will

• 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.

• 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.

• Retirement Plans (Dow Jones will pay 2% of a member's Pensionable Salary and match employee contribution up to a maximum of 3%).
• Well-being Resources (200 USD per quarter, Classpass, etc.).
• Family Care Benefits & Caregiving Support.
• Subscription Discounts.
• Employee Referral Program.