Manager, Data Science & Modeling

Merrick Bank; United States; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive Pay

Bonus Target

401(k) Plan with Company Match

Paid Vacation and Sick Days

Wellness Programs

Job summary

Merrick Bank is seeking a Data Scientist to build and maintain machine learning models that solve business challenges. This role involves ownership of the entire model lifecycle, including problem framing, design, data analysis, and deployment.

A Bachelor’s degree in a quantitative field is required, with a preference for a Master’s or Ph.D. Candidates should have strong skills in SQL, statistical modeling, and collaboration within teams. The role offers competitive pay, benefits including a 401(k) plan, and opportunities for professional development.

Qualifications

• Three years of experience with a bachelor’s degree or two years with a master’s in quantitative fields.
• Proven ability to collaborate with cross-functional teams.
• Strong verbal, written, and interpersonal communication skills.

Responsibilities

• Develop and sustain predictive modeling solutions across various business domains.
• Provide end-to-end ownership of the model development lifecycle.
• Investigate performance issues of models and suggest corrective actions.

Skills

SQL

Python

R

Statistical modeling

Data visualization

Education

Bachelor’s degree in quantitative fields

Master’s or Ph.D. in quantitative fields

Tools

Microsoft Excel

Microsoft Word

Microsoft PowerPoint

Job description

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.

Key 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.
• Responsible for complying with all of the Bank’s internal control policies and procedures.
• Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
• Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.
• Perform other duties as assigned by senior management.
• Maintain ethical standards, judgment, and confidentiality in all matters.

Education & Experience

Bachelor’s degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required. A Master’s or Ph.D. in quantitative fields is preferred. Three (3) years of hands‑on experience with a bachelor’s degree, or two (2) years hands‑on experience with a master’s degree, in quantitative fields is required.

Knowledge, Skills, and Capabilities

• Proficient in 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, 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. DEI Employee Resource Groups. Corporate Social Responsibility. Service Recognition.

Equal Opportunity Employer

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law. We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics. If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.