Data Scientist

Role and responsibilities

Within the Digital Finance team, the Data Scientist will be responsible for developing machine learning solutions for high-profile data science initiatives. They will focus on designing and training predictive analytics models, crafting signals from unstructured data and creating high-value-added solutions converting quantitative predictions into actionable insights for the business.

A successful candidate will demonstrate good knowledge of the various steps of a machine learning project, including modeling, and MLOps. The candidate should also be innovation-minded, result-oriented, autonomous, and able to deliver finished products, sometimes under short deadlines.

The data science team works closely with technology teams, rating and research teams, and other departments. The candidate should be able to collaborate across multiple divisions and communicate clearly and understandably to business representatives unfamiliar with data science.

The Data Scientist will also strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.

The duties of the Data Scientist include:

• Design and train machine learning models for predictive analytics.
• Build solutions for predicting financial events and extracting signals from multiple data sources.
• Design explainability tools understandable by non-data scientists.
• Collaborate with business stakeholders to translate business problems into data science solutions.
• Communicate results and insights to business stakeholders and decision-makers.
• Partner with tech teams to deploy end-to-end automated pipelines on the cloud
• Collaborate with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning models.
• Stay current with the latest research and technology developments.

Qualifications

• Master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field.
• Experience in machine learning, with a strong knowledge of algorithms and principles.
• Proven track record of successfully building and deploying machine learning applications in production.
• Deep understanding of the tools explaining machine learning predictions.
• Expertise in Python and SQL.
• Knowledge of Git and collaboration principles.
• Experience with Large Language Models and general Natural Language Processing principles
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to people from other fields.
• Previous experience in corporate finance or debt markets is preferred.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.