Lead Data Scientist - Treasury Analytics

About the Role

Key Responsibilities

• Lead the design and implementation of complex initiatives and deliverables by utilizing data driven solutions, advanced analytics models, statistical technique and algorithms.
• Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives.
• Mentor and guide a small team of data scientists and analytic consultants, fostering a collaborative and high-performance culture.
• Develop and maintain robust forecasting models using time series analysis, regression, and machine learning techniques.
• Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation.
• Communicate insights and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with data engineering and IT teams to ensure scalable and secure deployment of analytics solutions.
• Enforce and establish best practices related to data quality and governance.

Requirements

• 5+ years of data science experience, or equivalent demonstrated through work experience, training, military experience, or 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.

Nice to Have

• Strong understanding of banking products and services, including Treasury/Transaction Services.
• Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau).
• Exposure to MLOps practices and model deployment pipelines.

Qualifications

• Educational background including a Master's degree or higher in a relevant quantitative discipline.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement