Decision Scientist III

Truist

Decision Scientist optimizing Truist banking outcomes through analytics, quantitative modeling, and machine learning. Driving high-impact initiatives across channels, segments, and financial products.

Posted 8/19/2026full-timeAtlanta • North Carolina, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in decision science and analytics, leveraging quantitative analysis techniques and programming skills to drive data-driven business insights and optimize results. Proficient in managing complex projects and fostering collaboration across organizational levels to achieve strategic goals.

Highest-signal resume keywords

Decision Science Project ManagementQuantitative Analysis TechniquesSAS ProgrammingSQL ProficiencyData Visualization with Tableau

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Quantitative SkillsStatistical PrinciplesAnalytical TechniquesMachine LearningDatabase EnvironmentsIBM DB2OracleSAS E-MinerR ProgrammingPython Programming

Soft Skills

Excellent Communication SkillsStrategic ThinkingCreative ThinkingCollaborationClient-Centric Approach

Tools & Technologies

Microsoft Office SuiteExcelPowerPointWordToadTableauMicroStrategy

Industry Keywords

BankingFinanceAnalyticsData ScienceApplied Mathematics

Tech Stack

Tools & technologies

OraclePythonSQLTableau

About the role

Key responsibilities & impact

Independently drive analytics projects and execute objectives for an assigned business group
Support consultative partnerships with Lines of Business to produce analytic insights and informed, data-driven decisions
Drive quantifiable and optimized business results supporting company goals
Act as a force multiplier through high-impact analyses and initiatives across banking channels, segments, and products
Partner on assigned initiatives and drive decision science projects using quantitative analysis techniques, including machine learning
Foster communication and partnerships across multiple organizational levels, including mid-level managers
Build trust with business partners and support Line of Business and company goals
Pursue increased revenue and/or efficiency through data-driven insights and analytics
Continuously improve decision science delivery and outcomes
Champion tools that solve business challenges and deliver timely, accurate, repeatable solutions
Apply sound judgment and risk management while fostering a client-centric culture throughout design, development, and deployment

Requirements

What you’ll need

English language fluency required
Bachelor’s degree or equivalent education and related training or experience
5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
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
Excellent written and verbal communications skills
Ability to perform in a cross-functional and collaborative team environment
Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
Innovative and strategic thinking with ability to connect to practical application
Experience managing multiple projects with tight deadlines in a collaborative environment
Competency in statistical and analytical principles, tools, and techniques
Understanding of database environments including IBM DB2 and Oracle
Technical programming skills including SAS, SQL, and Toad
Exposure to applied data science tools including R, Python, and SAS E-Miner
Familiarity with data visualization and BI tools including Tableau and MicroStrategy
Proficiency in Microsoft Office Suite, including Excel, PowerPoint, and Word
Preferred: Master’s or PhD in a quantitative field
Preferred: 7+ years of relevant experience

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401k plan
At least 10 days of vacation during the first year, prorated based on date of hire and full-time or part-time status
10 sick days, prorated
Paid holidays
Defined benefit pension plan, depending on position and division
Restricted stock units, depending on position and division
Deferred compensation plan, depending on position and division