Act as an individual contributor, independently driving analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will support consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 1.    As a Senior Decision Scientist, act as a force multiplier, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2.    Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3.    Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers.  Maximize relationships and build trust with partners while supporting efforts aligned to LOB and company goals. 4.    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. 5.    Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable. 6.    Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1.    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 2.    Bachelor’s degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3.    2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results 4.    Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights 5.    Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact 6.    Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact 7.    Experience in managing multiple projects with tight deadlines in a collaborative environment to drive maximum impact 8.    Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques.  Champion application of emerging decision science techniques with business partners 9.    Incumbent should have an understanding of various database environments (Snowflake, IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad, Matillion, Sigma), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Power BI, Qlik Sense or Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) Preferred Qualifications: 1.    Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2.    7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.