Principal Data Scientist (Finance)
Our Data Scientist roles are unique. This is a career level (Senior) Data Scientist opening. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within.
You will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?
- This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
- This position is based in Alpharetta, GA. This resource should be local to Atlanta and will be able to work from this particular office.
- Corporate Return To Office requirements: Onsite weekly requirements each Tuesday, Wednesday, and Thursday each week.
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
- Minimum BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
- Minimum 7 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
- Prior 3+ years direct management experience.
- Credit risk and Fraud Risk model development experience
- Financial vertical experience
- GenAI driven solutioning
- Extensive experience on various credit and fraud risk models
