Decision Scientist III
Truist · Atlanta, GA
- On site
- Full-time
- $120,000 / year
- Atlanta, GA
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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 using quantitative methods.
- Partner with business lines for data-driven decisions.
- Leverage machine learning for business optimization.
- Communicate insights across organizational levels.
- Focus on revenue increase and efficiency gains.
About the role
Decision Scientist - Truist
Truist is seeking a Decision Scientist to join their team. This role requires an individual contributor who can independently drive analytics projects and support business objectives using an interdisciplinary approach. You will partner with business lines to produce analytic insights that drive informed, data-driven decisions for optimized business results.
About the Role
As a Senior Decision Scientist, you will act as a force multiplier, focusing on high-impact analyses and initiatives across multiple business models, including banking channels, segments, and products. You will independently drive decision science projects, leveraging quantitative analysis techniques like machine learning, to optimize business operations and impact. This role involves fostering communication and partnerships across various organizational levels, including engagement with mid-level managers. You will maximize relationships and build trust with partners while supporting efforts aligned with LOB and company goals. The objective is to pursue business outcomes valued through increased revenue and/or efficiency, leveraging data-driven insights for enhanced decision-making. A key focus will be on continuous improvement in decision science delivery and outcomes. 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 essential throughout the design, development, and deployment practices.
Essential Duties And Responsibilities
- Drive decision science projects using quantitative analysis and machine learning techniques.
- Foster communication and partnerships across multiple levels of the organization.
- Pursue business outcomes through increased revenue and/or efficiency using data-driven insights.
- Champion the use of tools for timely, accurate, and repeatable solutions.
- Exercise sound judgment and risk management in development and deployment.
Qualifications
Required Qualifications
- Demonstrated combination of academic aptitude, quantitative skills, business acumen, and 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 demonstrated results.
- Proven ability to act as a role model in a cross-functional and collaborative team environment.
- Demonstrated ability to engage and support internal business partners, connecting insights with execution and business impact.
- Innovative and strategic thinker with practical application skills and a strong bias to action.
- Experience managing multiple projects with tight deadlines in a collaborative environment.
- High level of competency in statistical and analytical principles, tools, and techniques.
- Familiarity with database environments (IBM DB2, Oracle), programming skills (SAS, SQL, Toad), applied data science tools (R, Python, SAS E-Miner), data visualization and BI tools (Tableau, MicroStrategy), and 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
- Analytics
- Machine Learning
- Quantitative Analysis
- Business Optimization
- Data-Driven Decision Making
- Project Management
- Statistical Principles
- Data Visualization
- Financial Services
Skills & topics
- Decision Scientist
- Data Science
- Analytics
- Machine Learning
- Quantitative Analysis
- Business Optimization
- Finance
- Banking
- SAS
- SQL
- R
- Python
- Tableau
- Project Management
- Statistical Analysis
How to get hired
- Tailor your resume: Highlight your 5+ years in Decision/Data Science or related fields, emphasizing project management and quantitative skills.
- Showcase technical skills: Detail your proficiency in SAS, SQL, R, Python, Tableau, and Microsoft Office Suite.
- Demonstrate business acumen: Emphasize your experience in banking or finance and ability to drive business results.
- Prepare for interviews: Be ready to discuss your experience managing projects and collaborating in a team environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the minimum qualifications for the Decision Scientist role at Truist?
- The minimum qualifications for the Decision Scientist position at Truist include a Bachelor's degree or equivalent experience, 5+ years in a relevant field like Decision/Data Science or Finance, and 2+ years of analytics project management experience. Proficiency in statistical and analytical principles, programming languages like SAS or SQL, and data visualization tools is also required.
- What is the preferred educational background for a Decision Scientist at Truist?
- While a Bachelor's degree is required, Truist prefers candidates for the Decision Scientist role to hold a Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. This advanced education is often paired with 7+ years of relevant experience.
- What programming languages and tools are important for a Truist Decision Scientist?
- For the Decision Scientist role at Truist, strong technical skills are essential. This includes programming in SAS, SQL, R, and Python. Familiarity with database environments like IBM DB2 and Oracle, along with data visualization tools such as Tableau and MicroStrategy, is highly valued. Proficiency in the Microsoft Office Suite is also a must.
- How does Truist support team members in the Decision Scientist role?
- Truist offers a comprehensive benefits package for eligible regular employees, including medical, dental, vision, life insurance, disability, and retirement savings plans. They also provide paid time off, sick days, and holidays. Specific benefits like pension plans or stock options may vary by position and division.
- What is the application process for the Decision Scientist position at Truist?
- To apply for the Decision Scientist position at Truist, click the 'Apply Now' button. After submitting your application, you will be invited to create a profile to track your application status and communications. Existing users can log in to check their status.
- Does Truist offer accommodations for candidates with disabilities applying for the Decision Scientist role?
- Yes, Truist provides reasonable accommodations for individuals with disabilities who need assistance with the application process for roles like the Decision Scientist position. You can request such assistance by sending an email to Accessibility; please note that this email is only for accommodation requests.
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