Principal Data Scientist (Finance)
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 r]]> This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. What you'll do
- 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.
- 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
What experience you need
- 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
What could set you apart
- 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
