Decision Scientist II

Regular, full-time position. English fluency required. 1st shift.

About the role

Act as an individual contributor supporting analytics projects and executing against the objectives of the assigned business group. Using an interdisciplinary approach—leveraging concepts from business, applied statistics and math, operations research, information technology, process design, and behavioral sciences—the incumbent 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 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.

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 and collaborative team environment focused on supporting business partners with enhanced insights.
• Innovative and strategic thinker with the 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.
• Understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), 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 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 (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits. Truist offers:

• 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 date of hire and full-time/part-time status) during the first year of employment, along with 10 sick days and paid holidays.
• Depending on the position and division, eligibility for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.