Data Scientist Lead - Customer Analytics

About This Role

This role involves leading data-driven initiatives within the ACE Analytics team for Consumer Bank Decision Sciences. The Lead Data Scientist will shape strategies across various business aspects and leverage analytical insights to impact customer and business outcomes.

Responsibilities

• Develop complex analyses to drive business change in product performance, client engagement, attrition, and customer segmentation
• Partner with product, finance, and cross-functional teams to deliver high-impact projects that shape strategy and deliver measurable results
• Consult with business partners to understand analytical needs and provide actionable, data-driven recommendations
• Present clear insights and recommendations directly to stakeholders, including regular opportunities to share findings and recommendations with senior executives
• Solve unstructured business problems and perform deep-dive analyses of customer behavior using analytic, statistical, and machine learning techniques
• Refine and implement the analytical learning agenda to support business objectives
• Leverage internal data resources to construct analytical solutions for business challenges
• Collaborate with technology, product, and business teams to deliver impactful solutions
• Continuously develop skills to deliver best-in-class analytics
• Apply visualization techniques to communicate findings effectively
• Ensure all analyses and recommendations align with business goals and compliance standards

Requirements

• Master’s degree in a quantitative discipline or a Bachelor’s degree with 5+ years of experience in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance)
• 5+ years of experience applying statistical and machine learning methods to real-world problems
• 5+ years of experience with SQL and at least one analytical tool such as SAS, Python, or R (Python preferred)
• Experience with data visualization techniques for analysis and presentations (Tableau preferred)
• Superior written, oral communication, and presentation skills
• Ability to communicate concisely and effectively with all levels of management and partners
• Ability to work collaboratively in cross-functional teams
• Ability to solve complex, unstructured problems independently
• Ability to organize and prioritize multiple tasks efficiently
• Demonstrated attention to detail and accuracy in all analyses
• Commitment to continuous learning and professional development

Qualifications

• Master’s degree in a quantitative discipline or a Bachelor’s degree with 5+ years of experience in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance
• 5+ years of experience in a quantitative field and 5+ years of experience applying statistical and machine learning methods to real-world problems

Nice to Have

• Experience in financial services, consumer banking, or related industries
• Ability to work in a fast-paced, collaborative environment
• Proven track record of delivering actionable insights that drive business outcomes
• Intellectual curiosity and eagerness to learn new skills
• Strategic thinking with a data-led approach focused on business goals
• Ability to build strong relationships with stakeholders across locations
• Thrives as a collaborative team player in a dynamic, innovative environment

Skills

* Required skills

Benefits