Equifax is looking for a Senior Agentic AI Data Scientist to join our world-class Data and Analytics Center of Excellence (D&A COE). In this exciting role, you will have the opportunity to use cutting edge cloud technology and develop various analytics related AI and ML solutions.
- Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week.
- This role reports to our office in Alpharetta, Georgia OR midtown ATL (OAC).
- This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
- **This is a direct-hire role and is not open to C2C or vendors.
What you will do**
- Design and execute specialized evaluation and monitoring strategies to assess GenAI workflows, focusing on multi-step reasoning, tool-use reliability, and "looping" risks where agents may fail in autonomous tasks.
- Critically evaluate and monitor GenAI-specific risks, including hallucinations, prompt injection vulnerability, and data leakage, ensuring that mitigation strategies (such as guardrails and RAG-based grounding) are robust and effective.
- Conduct research on emerging evaluators (e.g., "LLM-as-a-judge") and develop benchmarking standards to systematically assess GenAI application outputs, ensuring the system performs reliably on unstructured data where traditional statistical profiles do not apply.
- Develop and execute comprehensive stress-testing protocols to assess GenAI soundness and identify potential risks.
- Critically assess the completeness and accuracy of GenAI development documentation, code, and marketing materials.
- Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles.
- Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
- Develop and deploy AI and ML solutions on Google Cloud Platforms.
- Utilize massive data sources to craft business insights and features for innovative solutions.
- Understand diverse data sources, both structured and unstructured.
What experience you need
- 5+ years of relevant experience in Data Science and/or AI/ML.
- M.S. or higher degree required in Computer Science; or Data Science, Analytics, Mathematics, Statistics, Economics, Operations Research, Industrial Engineering or a substantially related field of study if accompanied by strong computer science principles and skills.
- Solid experience with "classic" machine learning (XGBoost, Regression, Clustering) is highly desirable.
- Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
- Experience with agents frameworks (preferably Langchain).
- Experience with proprietary and/or open source LLMs.
- Experience in prompt engineering.
- Experience with RAG and Vector Databases
- Proficient in Python and SQL.
What could set you apart
- Exposure to Agentic AI.
- Exposure to Gen AI Governance.
- Evaluation, testing and monitoring of GenAI/Agents.
- Google Cloud Platform experience.
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