Decision Scientist III
Truist · Charlotte, NC
- On site
- Full-time
- $120,000 / year
- Charlotte, NC
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Subject: Interested in the Decision Scientist III role at Truist
Hi Jordan — I came across the Decision Scientist III opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Truist stood out because…
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Job highlights
- Drive analytics projects independently.
- Leverage interdisciplinary concepts for insights.
- Partner with LOB for data-driven decisions.
- Focus on revenue and efficiency gains.
- Champion decision science tools and techniques.
About the role
Job Description: Decision Scientist
Truist is seeking a Decision Scientist to join their team. This role involves acting as an individual contributor, independently driving analytics projects and executing objectives for an assigned business group. The incumbent will leverage an interdisciplinary approach, incorporating concepts from business, statistics, math, operations research, information technology, process design, and behavioral sciences to support consultative partnerships. The goal is to align with the Line of Business (LOB) to produce analytic insights that facilitate informed, data-driven decisions, ultimately driving quantifiable, optimized business results in support of company goals.
Essential Duties and Responsibilities
As a Senior Decision Scientist, you will act as a force multiplier, focusing on high-impact, visible analyses and initiatives across multiple business models, including banking channels, segments, and products. You will partner on target initiatives, independently driving decision science projects using quantitative analysis techniques such as machine learning, to optimize business operations and impact. This role requires fostering communication and partnership across various organizational levels, including engagement with mid-level managers, building trust with partners, and supporting LOB and company goals. The aim is to achieve business outcomes through increased revenue and/or efficiency by leveraging data-driven insights from analytics to enhance decision-making. A focus on continuous improvement in decision science delivery and outcomes for business optimization is essential. You will champion the use of tools to solve business challenges and deliver timely, accurate, and repeatable solutions. Sound judgment, risk management, and a client-centric culture are expected throughout design, development, and deployment practices.
Qualifications
Required Qualifications:
- Demonstrated 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 communication skills.
- 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.
- Must act as a role model, able to perform in a cross-functional and collaborative team environment supporting business partners with enhanced insights.
- 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 the ability to connect to practical application, providing leadership on target initiatives with a strong bias to action and focus on quantifiable business impact.
- Experience managing multiple projects with 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.
- Champion the application of emerging decision science techniques with business partners.
- 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).
Preferred Qualifications:
- Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
- 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
Key skills/competency
- Decision Science
- Data Science
- Analytics
- Machine Learning
- Quantitative Analysis
- Business Optimization
- Statistical Principles
- Project Management
- Financial Services
- Data Visualization
Skills & topics
- Decision Scientist
- Data Science
- Analytics
- Machine Learning
- Quantitative Analysis
- Business Optimization
- Statistics
- R
- Python
- SQL
How to get hired
- Tailor your resume: Highlight your 5+ years in finance or data science and 2+ years in project management.
- Showcase quantitative skills: Emphasize experience with machine learning, R, Python, SAS, SQL, and data visualization tools.
- Demonstrate business acumen: Provide examples of driving quantifiable business results and optimizing revenue or efficiency.
- Prepare for technical questions: Be ready to discuss statistical principles and applied data science techniques.
- Highlight collaboration: Showcase your ability to work in cross-functional teams and engage with mid-level managers.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific experience is required for the Decision Scientist role at Truist?
- The Decision Scientist role at Truist requires a Bachelor's degree or equivalent with 5+ years of experience in fields like Banking, Finance, Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering. Additionally, 2+ years of decision science/analytics project management experience with demonstrated results is necessary. A strong understanding of statistical and analytical principles, tools, and techniques, along with proficiency in relevant programming and data visualization tools, is crucial.
- What programming languages and tools are important for a Decision Scientist at Truist?
- For the Decision Scientist position at Truist, proficiency in programming languages like SAS, SQL, and R or Python is highly valued. Familiarity with database environments such as IBM DB2 and Oracle, applied data science tools like SAS E-Miner, and data visualization/BI tools including Tableau and MicroStrategy is also important. Demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) is expected.
- How does Truist support continuous improvement for Decision Scientists?
- Truist encourages continuous improvement for Decision Scientists by focusing on enhancing decision science delivery and outcomes to optimize business results. The role involves championing the use of tools to solve business challenges and deliver timely, accurate, and repeatable solutions. This commitment to ongoing development ensures that Decision Scientists are at the forefront of leveraging data for business optimization.
- What is the expected impact of a Decision Scientist at Truist?
- A Decision Scientist at Truist is expected to act as a force multiplier, driving high-impact analyses and initiatives that lead to quantifiable business results. This includes pursuing business outcomes valued through increased revenue and/or efficiency. By leveraging data-driven insights and advanced analytics, they empower the business to make informed, data-driven decisions that support company goals.
- What are the preferred qualifications for a Decision Scientist at Truist?
- Preferred qualifications for a Decision Scientist at Truist include a Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. Additionally, 7+ years of experience in the relevant fields (Banking, Finance, Data Science, etc.) is preferred over the 5+ years required.
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