Vice president-level lead data scientist

• Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives
• Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models
• Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions
• Enforce and establish best practices related to data quality and governance
• Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation
• Communicate insights and recommendations clearly to both technical and non-technical stakeholders

• 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of hands-on programming using SQL
• 5+ years of Python experience
• 1+ years of experience in a leadership or mentorship role
• Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science

• Prior experience supporting Agile product teams in a corporate environment
• Strong understanding of banking products and services, including Treasury/Transaction Services in areas such as payables and receivables and working capital solutions
• Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau)

Role is eligible for annual discretionary performance bonus