Decision Scientist II

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? ( If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (View email address on click.appcast.io?subject=Accommodation%20request) (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following 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. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site ( . Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. 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. EEO is the Law ( E-Verify ( IER Right to Work ( Truist Inc