Decision Scientist III

Truist

Senior Decision Scientist driving analytics projects for financial services. Act independently to produce analytic insights and support decision-making across business units.

Posted 7/23/2026full-timeRichmond • North Carolina, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in decision science and analytics, leveraging quantitative analysis techniques and data-driven insights to drive business optimization and impact. Proficient in statistical principles and various database environments, with a strong focus on engaging internal partners to connect insights with execution.

Highest-signal resume keywords

Decision Science Project ManagementQuantitative Analysis TechniquesStatistical PrinciplesData Visualization ToolsDatabase Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisData-Driven Decision MakingQuantitative AnalysisProject Management

Soft Skills

Innovative ThinkingStrategic ThinkingCommunicationCollaborationLeadership

Tools & Technologies

SASSQLRPythonPower BITableauSnowflakeIBM DB2OracleMicrosoft Office Suite

Industry Keywords

BankingFinanceAnalyticsApplied MathematicsComputer Science

Tech Stack

Tools & technologies

MatillionOraclePythonSQLTableau

About the role

Key responsibilities & impact

Act as an individual contributor, independently driving analytics projects and executing against the objectives of assigned business group.
Using an interdisciplinary approach to produce analytic insights that help the business make informed, data-driven decisions.
Work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers.
Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights in support of enhanced decision-making.

Requirements

What you’ll need

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
2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
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
Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques.
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)

Benefits

Comp & perks

medical
dental
vision
life insurance
disability
accidental death and dismemberment
tax-preferred savings accounts
401k plan
no less than 10 days of vacation
10 sick days
paid holidays