Sr. Data Scientist

Merrick Bank is seeking a Sr. Data Scientist to develop, validate, deploy, and monitor advanced predictive analytics solutions used in risk, marketing, and broader business decision-making. The position blends established statistical modeling with machine learning, with desirable exposure to deep learning, large language models, and generative AI techniques. This onsite role is based in Wilmington, DE.

What you’ll do

• Develop, validate, and maintain predictive models across Credit Risk, Marketing, Balance/Revenue forecasting, Direct Mail Response, and account-level valuation use cases.
• Own the end-to-end model lifecycle, from problem framing and conceptual design through data analysis, model construction, validation, documentation, deployment, and user enablement.
• Apply traditional statistical techniques including logistic regression, generalized linear models, clustering, and forecasting.
• Build machine learning solutions using approaches such as gradient boosting, random forests, ensemble methods, and other advanced analytics.
• Create model monitoring frameworks to support ongoing performance, stability, fairness, and regulatory compliance, including investigating issues, identifying root causes, and recommending corrective actions.
• Perform complex data analysis and communicate findings, recommendations, and model performance to both technical and non-technical audiences.
• Support model governance, validation, compliance reviews, and regulatory examinations through clear documentation and transparent methodologies.
• Research, assess, and prototype emerging AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), and generative AI applications.

Requirements

• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Applied Mathematics, Computer Science, Machine Learning, Artificial Intelligence, Economics, Engineering, Operations Research, or related).
• PhD in a quantitative field is preferred.
• At least 1 year of hands-on experience building predictive models, machine learning solutions, or advanced analytics applications in financial services or other highly regulated industries.
• Experience developing and deploying production-ready analytical solutions.
• Strong understanding of statistical modeling methodologies, including logistic regression, linear models, segmentation, forecasting, and model validation techniques.
• Strong expertise in machine learning algorithms and end-to-end model development workflows.
• Advanced programming skills in Python, R, and SQL.
• Experience working with large and complex data sets.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex technical concepts to business stakeholders and executive leadership.
• Proven ability to work independently and collaboratively in cross-functional teams.
• Ability to comply with all Bank internal control policies and procedures.
• Ability to understand and comply with all applicable laws and regulations.
• Ability to communicate problems involving operations issues, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Technologies

• Python
• R
• SQL
• Large language models (LLMs)
• Retrieval-augmented generation (RAG)
• Generative AI

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- and 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, and Service Recognition

Work environment

• Office environment with sustained posture in a seated position for prolonged periods of time, working with computer equipment for prolonged periods of time.
• Some stress may occur.
• Travel is generally not required.

Compliance with laws and regulations: The role includes responsibility for complying with the Bank’s internal control policies and procedures, understanding and complying with applicable laws and regulations, and communicating problems involving operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.