Equifax is seeking a Data Scientist to integrate diverse big data assets into analytical solutions that address business problems. The role involves collaborating with internal clients, developing innovative data solutions, and applying advanced analytics to enhance business performance.
Contribute as part of the Data Science Lab team, collaborating with internal clients in various phases of prototype development and deployment.
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.
Collaborate with key stakeholders to understand their needs and contribute to developing advanced solutions or improving existing solutions around big data and advanced analytics.
Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology.
Qualification
Required
Master’s degree in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, or a Bachelor's degree with equivalent relevant experience.
2+ years of experience applying predictive analytics and modeling to solve business problems; this can include internships and/or a Master’s Degree.
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.
Strong problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment.
Preferred
Experience with large-scale data processing in distributed environments.
Strong communication skills of analytical results to technical and non-technical audiences alike.
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.
Agile development including Scrum.
Benefit
Equifax is a data, analytics, and technology company for automotive, fintech, healthcare, and insurance industries.
