Data Scientist - Intermediate

Equifax

Alpharetta, GA

Full Time

Mid Level

9 days ago

Job Description

About the Role

Equifax is looking for a Data Scientist - Intermediate 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.

Key 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.
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.

Requirements

2-5 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.
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.