Decision Scientist II

Job Title

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Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Job Description

Act as an individual contributor supporting 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, will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

Focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.

Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.

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.

Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.

Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.

Requirements

Must have a Bachelor's degree in Data Science, Analytics, Statistics, Finance or related quantitative field

Must have 3 years of experience in analytics or research positions performing/utilizing the following:

• Performing quantitative analysis and data analytics
• Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
• Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
• Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
• Working knowledge of transaction processing application software, application processing systems, and collection inventory systems
• Performing in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
• Connecting to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact
• Delivering insights against tight deadlines in a collaborative environment to drive maximum impact
• Applying knowledge in statistical and analytical principles, tools, and techniques
• Natural Language Processing techniques and other related Deep Learning knowledge.
• Utilizing knowledge and experience with: IBM DB2 and Oracle, SAS, SQL, Toad, R, Python, SAS E-Miner, Data visualization and BI tools including Tableau and MicroStrategy, and Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Atlanta, GA. Must be available to travel to Atlanta, GA regularly for meetings and reviews with manager and project teams within 24-hours' notice.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.