Data Scientist

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies:

• Excellent knowledge of machine learning project steps, including modeling and MLOps.
• Innovation-minded, result-oriented, and autonomous, with the ability to deliver finished products under short deadlines.
• Experience in machine learning, with a strong knowledge of algorithms and principles.
• Proven track record of successfully modeling, building, and putting in production machine learning applications.
• Deep understanding of the tools explaining machine learning predictions.
• Expertise in Python and SQL.
• Excellent communication skills to explain complex analytical concepts to business representatives unfamiliar with data science.

Education:

• Master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field.

Responsibilities:

• Develop machine learning solutions for high-profile data science initiatives.
• Design and train predictive analytics models, craft signals from unstructured data, and create high-value-added solutions converting quantitative predictions into actionable insights for the business.
• Select and train machine learning models for predictive analytics, sometimes with relatively small and unbalanced datasets.
• Build solutions predicting activities and extracting signals from multiple data sources.
• Design explainability tools understandable by non-data scientists.
• Collaborate with tech teams to create data ingestion pipelines connected to sources spread across different parts of the organization and delivered in varying formats.
• Communicate results to business stakeholders and decision-makers.
• 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.

About the team: Our Digital Finance team is responsible for developing innovative machine learning solutions to enhance Moody's digital presence and improve customer engagement. By joining our team, you will be part of exciting work in predictive analytics, unstructured data processing, and creating actionable insights for the business.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.