Decision Scientist II

Regular, full-time position. Fluency in English required. On-site role based in the United States (1st shift).

About the role

Act as an individual contributor supporting analytics projects and executing against the objectives of an assigned business group. Using an interdisciplinary approach—leveraging concepts from business, applied statistics, math, operations research, information technology, process design, and behavioral sciences—you will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions. The goal is to drive quantifiable, optimized business results in support of company goals.

Responsibilities

• Focus on high-impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
• Partner on target initiatives; work independently and collaboratively to drive decision science projects using quantitative analysis techniques, including machine learning, to pursue business optimization and impact.
• Pursue business outcomes valued through increased revenue and/or efficiency, leveraging data-driven insights to enhance decision-making.
• Drive continuous improvement in decision science delivery and outcomes to optimize business performance.
• Explore and apply tools to solve business challenges, delivering solutions that are timely, accurate, and repeatable.
• Exercise sound judgment and risk management while fostering a client-centric culture throughout design, development, and deployment.
• Communicate and partner across multiple levels of the organization, including engagement with LOB contributors and junior-level managers.

Requirements

• Bachelor’s degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.
• Ability to perform in a cross-functional, collaborative team environment focused on supporting business partners with enhanced insights.
• Innovative and strategic thinker with the ability to connect theory to practical application, providing actionable recommendations on target initiatives with a bias toward quantifiable business impact.
• Experience delivering insights under tight deadlines in a collaborative environment to drive maximum impact.
• High competency in statistical and analytical principles, tools, and techniques.
• Understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), and exposure to applied data science tools (R, Python, SAS, Snowflake).
• Familiarity with data visualization and BI tools (Tableau, Power BI) and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Preferred Qualifications

• Master’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• 6+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.
• 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results (if candidate lacks a graduate degree).

Benefits

All regular teammates (working 20+ hours per week) are eligible for benefits, including:

• Medical, dental, and vision insurance.
• Life insurance, disability, and accidental death and dismemberment coverage.
• Tax-preferred savings accounts and a 401k plan.
• No less than 10 days of vacation (prorated based on hire date and full-time/part-time status) during the first year, plus 10 sick days and paid holidays.
• Depending on the position and division, eligibility may extend to a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.