Data Scientist

1 week ago

Bengaluru Karnataka, India Moody's Full time

**Location(s)**:

- Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN

**Line Of Business**: MIS MGMT(MIS MGMT)

**Job Category**:

- Engineering & Technology

**Experience Level**: Experienced Hire

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.

Role and responsibilities
Within the Digital Finance team, the Data Sciencist 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, crafting signals from unstructured data and creating high-value-added solutions converting quantitative predictions into actionable insights for the business.
The Data Sciencist will also strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.
The duties of the Data Sciencist 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 connected to sources spread across different parts of the organization and delivered in varying formats.
- Communicate results to business stakeholders and decision-makers.
- 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.
- Deep understanding of the tools explaining machine learning predictions.
- Expertise in Python and SQL.
- Knowledge of Git and collaboration principles.
- Proven experience in natural language processing.
- 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, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

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