Let's begin! Assistant Director Data Science
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Job Summary
At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence.
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.
- Experience and/or exposure in data science machine learning or applied artificial intelligence including experience working on projects or collaborating with data scientists and engineers
- Hands-on experience building training and evaluating machine learning and deep learning models including modern architectures such as transformers with the ability to assess where advanced approaches outperform classical methods and where they do not
- Strong programming skills in Python with practical experience deploying machine learning models and services into production environments
- Practical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex to accelerate development testing and code review with familiarity across the software development lifecycle and machine learning operations practices
- Strong working knowledge of large language models (LLMs) including prompting fine-tuning retrieval-augmented generation (RAG) and evaluation techniques and the ability to apply them to real product challenges
- Experience with agentic AI frameworks and libraries in Python such as AWS Bedrock AgentCore LangChain/LangGraph CrewAI or the OpenAI Agents SDK with an understanding of agent design patterns including tool use orchestration memory and multi-agent workflows
- Ability to own the full model-development lifecycle including problem framing data exploration solution design estimation validation deployment and ongoing monitoring
- Ability to explain present and demonstrate complex modeling work clearly to senior leaders cross-functional partners and non-technical stakeholders
- Working knowledge of cloud-based data and machine learning platforms such as AWS Azure GCP and Databricks as well as the broader ecosystem used to build and deploy AI and ML 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 organization.
- Degree in Computer Science Data Science Statistics Applied Mathematics Engineering or a related quantitative field is required; a Masters or Ph.D. in a related discipline is preferred but not required
- Lead the end-to-end design development and deployment of machine learning AI and GenAI solutions that enhance existing products and enable new client-facing capabilities
- Partner with product engineering and business stakeholders across the Corporate and Governments business to translate client needs and market opportunities into well-scoped data science initiatives
- Own model selection experimentation and validation end-to-end ensuring solutions are accurate scalable compliant with applicable regulations and legal frameworks and production-ready
- Identify opportunities for automation and model-based enhancement applying machine learning and deep learning methods to improve accuracy efficiency and overall performance
- Foster best practices in coding experimentation machine learning operations and software engineering excellence
- Drive responsible AI practices across the team including risk management model governance and the ethical use of AI and machine learning techniques
- Communicate technical work clearly and concisely ensuring insights limitations and implications are understood by a broad range of stakeholders including senior leaders
Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.
Required Experience:
Director
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
