Equifax
Data Scientist - Career
USA - Atlanta - One Atlantic Center · Full-time
No sponsorshipDetected 30 days ago
PythonData StructuresAlgorithmsSQLSnowflakeAWSGCPMachine LearningTensorFlowPandasSparkData AnalysisData ScienceNLPLLMsStatisticsAgileResearchLeadershipCommunicationProblem SolvingHadoop
About the role
- Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business problems.
- With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.
- Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling.
Responsibilities
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Work on high complexity tasks in problems often within multiple business or analytical domains. Lead the development or projects with multiple deliverables leveraging business and technical expertise
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Engineer new features for use in solutions. Manage data storage in an analytical environment
- Design code and solutions with guidance from management. Contributes to standard code repository, applies efficient coding best practices and improves the coding of others
- Develop complex models and algorithms, understand performance and business implications of models
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
Requirements
- Experience with large-scale data processing in distributed environments
- Experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
- Ph.D. degree in mathematics, statistics, computer science, or related quantitative field
Nice to have
- Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
- 5-7 years experience applying predictive analytics and modeling to solve business problems
- Experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
Compensation
- We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Benefits
- Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
Company info
- Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
Visa & Work Authorization
- This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
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This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.