What are the responsibilities and job description for the Senior Agentic AI Data Scientist position at Equifax?
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.
What you’ll do
What Experience You Need
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.
What you’ll do
- 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.
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 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.
- Exposure to Agentic AI.
- Evaluation, testing and monitoring of GenAI/Agents.
- Google Cloud Platform experience.
