Senior Agentic AI Data Scientist

Equifax • Alpharetta, GA

252d • Remote

About The Position

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. 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.

Requirements

• 5+ years of relevant experience in Data Science and/or AI/ML.
• M.S. or higher degree required in Computer Science; or Mathematics, Statistics, Economics, Operations Research, or Industrial Engineering if accompanied by strong computer science principles and skills.
• 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.

Nice To Haves

• Exposure to Agentic AI.
• Evaluation, testing and monitoring of GenAI/Agents.
• Google Cloud Platform experience.

Responsibilities

• Serve as a resource for creating AI agents and RAG databases to solve problems in marketing analytics, sales insights, peer benchmarking and economic trends, and interactive analytical dashboards.
• 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.
• Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
• Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis and process improvement.
• 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.

Benefits

• Comprehensive compensation and healthcare packages.
• 401k matching.
• Paid time off.
• Organizational growth potential through our online learning platform with guided career tracks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree