Manager, Data Science & Modeling

About the role

Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions. Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.

Responsibilities

• Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and account-level valuation domains.
• Provide end-to-end ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
• Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals.
• Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
• Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
• Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decision-making.
• Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
• Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Requirements

• Education & Experience: Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required. Advance Degree (Master’s or PhD) in quantitative fields (same as above) is preferred. Three (3) years of hands-on experience with a bachelor’s degree, or two (2) year’s hands-on experience with a master’s degree, in quantitative fields is required.
• Knowledge, Skills And Capabilities: Profound expertise with SQL and at least one scripting language such as Python, R, or Shell. Proficiency with Microsoft Office tools including Excel, Word and PowerPoint. Strong verbal, written, and interpersonal communication skills. Proven ability to collaborate effectively within cross-functional teams. Ability to navigate ambiguity and work hands-on with complex business and technical challenges. Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization. High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one’s sleeves.

Benefits

• Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
• Benefits Package - Medical, Dental, and Vision (plus much more)
• 401(k) Plan with Company Match
• Short- & Long-Term Disability
• Wellness Programs
• Group Life and AD&D Insurance
• Paid Vacation, Sick Days and bank Holidays
• Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

Why join us

We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people. At Merrick Bank, you’ll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact. Our Employee Value Proposition includes Competitive Pay, a comprehensive benefit suite, and a variety of employee engagement activities.