Decision Scientist II

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you’ll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won’t receive a response).

Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Please review the following job description: Join the CX/OPEX Operational Excellence team as a Decision Scientist, where you’ll apply advanced analytics, statistical modeling, and business problem solving to drive measurable impact across the organization. In this highly visible individual contributor role, you’ll use an interdisciplinary approach—blending concepts from business strategy, applied statistics, mathematics, operations research, process design, information technology, and behavioral science—to deliver insights that enable leaders to make informed, data driven decisions.

You will work both independently and collaboratively with internal partners to analyze complex datasets, build scalable analytical solutions, and translate findings into clear, actionable recommendations that optimize business outcomes and support company goals. This role requires strong proficiency in SAS and Python, with the opportunity to deepen your technical expertise while influencing key business initiatives.

• As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
• Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
• Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
• Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.

• The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
• Bachelor’s degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
• Must be able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
• Innovative and strategic thinker with ability to connect to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact
• Experience in delivering insights against tight deadlines in a collaborative environment to drive maximum impact
• Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
• Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data…