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# Data Scientist, Strategic Intelligence

- **Company:** Moody's Analytics Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Software as a Service, Cloud Database, Python (Programming Language), Machine Learning, Natural Language Processing, Operational Data Store, Power BI, OpenAI, Standard Sql, Azure Machine Learning, Software Deployment, Tableau (Software), Enterprise Software Applications, Feature Engineering, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Pandas, Data Lakes, Scikit Learn, Information Technology, Statistics Packages, Data Analytics, Machine Learning Operations, Entity Resolution, Software Version Control, Databricks
- **Published:** November 1, 2026
- **Apply:** https://www.juju.com/job/1_CC61552DAAA84127A32D64895FFB04CD-NY1730380

## About the Role

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 * 5+ years of experience in data science, applied machine learning, or quantitative modelling roles * Strong Python skills (e.g., pandas, scikit-learn, statsmodels, NLP and deep learning libraries) and proficient SQL * Hands-on experience building predictive models (classification, regression, survival, time-series), including feature engineering, validation, and monitoring * Experience with NLP and unstructured text data, and familiarity with LLM and generative AI techniques (e.g., embeddings, retrieval, prompt design, evaluation) * Solid foundation in statistics, econometrics, and causal inference or experimentation * Experience with Databricks, Spark, MLflow, or comparable cloud-based data and ML platforms (Azure preferred) * Experience working with source control, testing, and deployment best practices for models * Familiarity with BI platforms such as Power BI or Tableau for delivering model outputs * Ability to translate business problems into
analytical approaches and quantify commercial impact * Experience working with commercial, customer, financial, risk, product, or operational data * Strong problem-solving and critical thinking skills, with sound judgement on model limitations and uncertainty * Ability to communicate effectively with both technical and non-technical audiences * Preferred: Background in economics or econometrics, with a strong grounding in modern economic thinking * Preferred: Experience in credit risk, financial services, risk analytics, SaaS, or enterprise software organizations * Preferred: Experience with customer analytics such as propensity, churn, account health, or lifetime value modelling * Preferred: Experience with external data sources (e.g., news, filings, firmographic or alternative data) and entity resolution * Preferred: Experience with Unity Catalog, Delta Lake, Azure ML, or Azure OpenAI * Preferred: Experience building and deploying AI-enabled applications, including
web-hosted BI products * Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.
Strong experience using AI tools to lead innovation initiatives.
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducation * Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related quantitative field * A Master's degree or PhD is preferred * Equivalent practical experience will also be considered * Relevant certifications in Databricks, cloud platforms, or machine learning are preferred but not requiredResponsibilitiesThe Data Scientist builds AI-enabled predictive models and analytics capabilities that turn internal and external data into trusted, explainable intelli