Principal Data Scientist

Equifax

Atlanta, GA

Full Time

Senior

about 1 month ago

Job Description

About the Role

Equifax is seeking a Principal Data Scientist to join our growing Data and Analytics Team. This is a great career opportunity to work with a close knit team to support our Commercial division while working on the latest tech stack with a defined career path. This role requires being in our Alpharetta office 3 days/week on Tues - Thurs. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

Key Responsibilities

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.
Analyze and prepare complex and new data sources and incorporate them into analytical solutions
Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
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

Requirements

BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
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
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements

Nice to Have

Deep understanding of risk management in Banking, Lending, Utility, Telco Industries
Experience in ML modeling, bias correction, reasoning, and entire lifecycle of models
Sophisticated BigQuery and Python programming

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