Assistant Manager, Data Science (Capacity Planning)

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, 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 on new data sources and 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 within the team
• 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

• 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 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