Equifax
What you’ll do
Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities
Contribute to evaluation of new data sources, provide recommendations on value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed
Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions
Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
SQL Mastery & Optimization: Design, write, and optimize highly complex SQL queries for data extraction, transformation, and analysis, often dealing with massive datasets
Design, develop, and implement advanced NLP and LLM solutions, including text classification, summarization, and NER (Name Entity Recognition), powered by state-of-the-art embedding models like Gemini and BERT
Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
Communicate results to senior management and external stakeholders, able to communicate the strategic impact of the work
Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy
Serve as SME consultant for COE / Business Unit / Regions, share best practices globally
What experience you need
Master’s degree in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Engineering or related quantitative field strongly preferred
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
7-10 years of experience in a related role, with experience demonstrating leadership capabilities
Proven track record of designing and developing predictive models in real-world applications
5 years experience applying predictive analytics and modeling to solve business problems
5 years of 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)
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
What could set you apart
1 year Experience managing teams of at least two employees
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
Extensive experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
Agile development including Scrum
Ph.D. degree in mathematics, statistics, computer science, or related quantitative field
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.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location: USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function: Function – Data and Analytics
Schedule: Full time
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Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities
Contribute to evaluation of new data sources, provide recommendations on value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed
Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions
Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
SQL Mastery & Optimization: Design, write, and optimize highly complex SQL queries for data extraction, transformation, and analysis, often dealing with massive datasets
Design, develop, and implement advanced NLP and LLM solutions, including text classification, summarization, and NER (Name Entity Recognition), powered by state-of-the-art embedding models like Gemini and BERT
Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
Communicate results to senior management and external stakeholders, able to communicate the strategic impact of the work
Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy
Serve as SME consultant for COE / Business Unit / Regions, share best practices globally
What experience you need
Master’s degree in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Engineering or related quantitative field strongly preferred
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
7-10 years of experience in a related role, with experience demonstrating leadership capabilities
Proven track record of designing and developing predictive models in real-world applications
5 years experience applying predictive analytics and modeling to solve business problems
5 years of 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)
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
What could set you apart
1 year Experience managing teams of at least two employees
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
Extensive experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
Agile development including Scrum
Ph.D. degree in mathematics, statistics, computer science, or related quantitative field
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.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location: USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function: Function – Data and Analytics
Schedule: Full time
#J-18808-Ljbffr