Equifax

Data Scientist

Equifax

full-time

Posted on:

Location Type: Hybrid

Location: Alpharetta • 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

CloudDistributed SystemsPandasPythonSparkSQLTensorflow

About the role

  • 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.
  • 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.

Requirements

  • 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.
Benefits
  • Health insurance
  • 401k matching
  • Paid time off
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data structuresanalyticsalgorithmsSQLNLPLLMtext classificationsummarizationNERpredictive analytics
Soft skills
problem-solvingcollaborationattention to detailadaptabilitycommunication