Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve business problems.
Requirements
- 1-3 years of experience with Python, Tensorflow, SQL (solid skills and scripting experience), and Spark with experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames).
- Foundational understanding of algorithm time and space complexity, and an ability to apply this knowledge to develop efficient data science solutions.
- Experience with large-scale data processing in distributed environments.
- Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus.
- Familiarity or exposure to NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI.
Responsibilities
- Explore and apply innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems.
- Leverage expertise in data structures, analytics, algorithms/models, and computer science fundamentals to prepare, analyze, and develop robust, deployable solutions
- Design, write, and optimize complex SQL queries for data extraction, transformation, and analysis, often dealing with large datasets.
- Assist in the design, development, and implementation of NLP and LLM solutions, including text classification, summarization, and NER (Name Entity Recognition), leveraging state-of-the-art embedding models like Gemini and BERT.
- Contribute to the development and implementation of solutions for efficient processing of large-scale data using distributed systems.
- Data Quality & Labeling: Demonstrate a commitment to data integrity by patiently and meticulously performing essential tasks such as data labeling, classification verification, and anomaly detection.
- Contribute to developing analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets, and iterative product development.
Other
- 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.
- Strong problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment.
