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. 

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. The data scientist will notably focus on designing and training predictive analytics models and creating high-value-added solutions that convert quantitative predictions into actionable insights for the business.

A successful candidate will demonstrate a good knowledge of the various steps of a machine learning project, including modeling, data engineering, 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 will work closely with technology teams, rating and research teams, and other departments. Therefore, 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 uphold Moody’s values of openness, diversity, inclusivity, respect, and a willingness to learn.

The duties of the data scientist include:

• 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 that connect to sources spread across different parts of the organization and deliver data in varying formats.
• Support tech teams in developing MLOps solutions and putting models in production.
• Evaluate and select the best tools and IT architectures with tech teams.
• Support tech teams in the management of cloud resources.
• 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.
• Speak at internal and external events, as required

Qualifications

• Master’s degree or Ph.D. in data science, computer science, statistics, mathematics, or a related quantitative field.
• 1-2 years of 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.
• Good understanding of the tools explaining machine learning predictions.
• Expertise in Python and SQL.
• Experience in natural language processing.
• Good 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.
• Knowledge of cloud services. Experience with Microsoft Azure is a plus.

For US-based roles only: the anticipated hiring base salary range for this position is $106,600.00 - $154,600.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

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 accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.