Sr. Director (Principal Data Scientist)

About the Role

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 their value, and design code to improve productivity and enhance existing solutions.
• Serve as lead technical data scientist for multiple domains, collaborating with teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
• Analyze and prepare complex and new data sources for 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, highlighting the strategic impact of the work.
• Evaluate the technical work of experienced data scientists, guiding on deliverable quality and accuracy.
• Serve as SME consultant for COE / Business Units / Regions, sharing best practices globally.
• Manage challenging projects and own priorities within and across teams.

Requirements

• BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred.
• 7-10 years of experience in a related role, 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.
• Experience with cloud certification strongly preferred.
• Additional role-based certifications may be required depending on region/BU requirements.

Nice to Have

• 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.