Decision Scientist II

Truist•Atlanta, GA

3d•$100,000 - $115,000•Onsite

About The Position

The position involves acting as an individual contributor supporting analytics projects and executing against the objectives of an assigned business group. Utilizing an interdisciplinary approach that leverages 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. These insights will help the Line of Business (LOB) make informed, data-driven decisions with the objective of driving quantifiable, optimized business results in support of company goals.

Requirements

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.
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 visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Nice To Haves

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.

Responsibilities

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.