Assistant Manager, Data Science (Marketing & Communications)

Overview

Responsible for developing and deploying predictive models, advanced analytics, and advanced statistical techniques and solutions that deliver actionable insights to drive innovation and decision-making across the organization. Contributes to developing strategic priorities, shapes analytical approaches, ensures model quality and performance, and supports integration into decision-making processes.

Responsibilities

• Coordinate the day-to-day efforts of data science team members and assist in planning deliverables
• Promote advanced model development, including versioning, testing, novel approaches, and reproducibility to solve complex business problems
• Calibrates cross-functionally to leverage data actionable insights that align with the organization's strategic objectives
• Translates complex data into understandable insights, and drive initiatives that enhance our data capabilities and contribute to the strategic goals of the organization
• Responsible for taking an active role managing project timelines, ensuring the successful execution of projects; communicate project needs and progress to stakeholders and facilitate technical support as needed
• Supports research and fosters a culture of innovation and experimentation of modeling techniques
• Partners with the Manager to align resources, resolve technical challenges, and ensure model development stays on track
• Promote understanding of ethical modeling principles and data science best practices across the department
• Develops and coaches team members supporting their development and performance while fostering a culture of transparency, accountability, and continuous improvement and serves as mentor to early-career data scientists and help advance their analytical and technical skills; review junior team members' model development, analysis, and documentation
• Stay updated on industry trends, emerging technologies, and best practices in data science and analytics
• Coordinates with model output users to ensure use aligns with approved and appropriate use cases
• Supports Model Risk Management, Fair Lending, and Machine Learning Operations submissions which enable models to be deployed into production
• Collaborate with Model stakeholders to understand the desirable business impact of a model and assist the team to design strategies that aligns with that goal with realistic results and within expected restraints from Model Risk Management and Fair Lending

• Bachelor's degree in related field or equivalent combination of training, education and experience
• College/university degree and 2+ years work experience; 1+ years of supervisory experience
• Understanding of core data science principles, and model building techniques enabling effective support and mentorship for team members in project execution
• Ability to oversee the production of regular reports and dashboards that visualize data science insights, ensuring alignment with business needs
• Ability to assist data scientists with troubleshooting and resolving technical challenges or data discrepancies encountered in their analyses
• Familiarity with data documentation and visualization tools, empowering the team in creating impactful presentations and reports that communicate findings effectively
• Basic leadership abilities to guide team members in their daily tasks and responsibilities
• Project management skills and skill in managing daily activities, ensuring work is completed efficiently and on time
• Effective communication skills for conveying instructions and performance expectations to the team
• Ability to provide constructive feedback and coaching to enhance team performance
• Ability to motivate team members to achieve work goals and maintain high morale
• Proficiency in addressing issues as they arise, ensuring smooth operational continuity

• Master's Degree in related field or equivalent combination of training, education and experience