Decision Scientist, Consumer Payments & Strategy

Decision Scientist, Consumer Payments & Strategy Pay: $53-55 / hourly as W2, full benefits offered. Hybrid: part time onsite in Atlanta, GA Length of contract: Approved through 2026, possible extension • • Candidates must work 2-3 days onsite / per week in Atlanta, GA • • The target hiring compensation range for this role is $53-55 / hourly as a W2 employee. Holidays and vacation days taken are unpaid. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in a 401k plan with company match. Are you ready to shape the strategy for products used by millions? Our Consumer Payments & Credit Card Analytics team is looking for an analytically driven Decision Scientist to transform massive datasets into high-impact business strategies. This isn't just a reporting role; you will be the analytical engine driving decisions across our credit card, peer-to-peer (P2P) platforms (like Zelle), and emerging payment products. In this role, you will work at the critical intersection of data, strategy, and product. You'll leverage a modern cloud stack (Snowflake), advanced analytics (Python, SAS), and cutting-edge BI tools (Tableau, Qlik, and Sigma) to deliver actionable insights that shape product development, optimize marketing, and enhance the customer experience. How You'll Make an Impact • Strategic Analytics & Insights • Uncover high-impact opportunities by analyzing complex transaction data to identify growth trends, competitive threats, and new product potential. • Go beyond simple reporting to deliver deep, actionable insights into consumer behavior, digital adoption, and P2P payment activity. • Architect advanced customer segmentation models to power personalized marketing, product personalization, and targeted customer engagement. • Define the "what" and "why" behind our performance, developing and tracking key metrics that measure portfolio health and marketing effectiveness. • Predictive Modeling & Experimentation • Build and deploy predictive models (using Python/SAS) to forecast key trends, measure customer lifetime value, and evaluate campaign performance. • Own the analytical framework for marketing experiments and A/B testing, designing tests and measuring results to drive continuous optimization. Data Innovation & Visualization • Master our Snowflake cloud data environment, building and optimizing data pipelines (ETL) to ensure data is clean, accessible, and ready for analysis. • Tell stories with data by designing and building intuitive, elegant dashboards in Tableau, Qlik, and Sigma that empower real-time, self-service decisions. • Champion self-service analytics by empowering business users to explore data directly in Snowflake using Sigma Computing. Collaboration & Influence • Act as a strategic partner to senior leaders in Marketing, Product Management, and Risk, aligning analytical insights with core business objectives. • Translate complex analytical findings into clear, compelling narratives and recommendations for executive-level stakeholders. What You'll Bring Education: Bachelor’s degree in a quantitative field (e.g., Financial Engineering, Computer Science, Data Science, Statistics, Economics, or Applied Math); a Master’s degree is a strong plus. Experience: 4+ years of professional experience in data science, business analytics, or a similar quantitative role. Skills needed: • Expert-level SQL and hands-on experience with cloud data warehouses (Snowflake highly preferred). • Advanced proficiency in Python or SAS for data manipulation, advanced analytics, and statistical modeling. • Hands-on mastery of BI and data visualization tools (e.g., Tableau, Qlik, or especially Sigma). • Strong foundation in statistical techniques, marketing analytics, A/B testing, and customer segmentation methodologies. • Proven ability to manage and query massive, complex datasets. Who You Are A Natural Problem-Solver: You are deeply curious, with a talent for breaking down ambiguous problems and a relentless attention to detail. A Data Storyteller: You have an exceptional ability to communicate complex data and insights to any audience, from engineers to C-level executives. An Owner: You have a proactive, initiative-taking mindset, a high bar for quality, and a sense of accountability for your work. A Collaborator: You thrive in a dynamic, fast-paced, and team-oriented environment, eager to learn and grow. Why You'll Love Working Here Massive Impact: Your work will directly influence the products and strategies that affect millions of consumers and move billions of dollars. Modern Stack: You'll work with the best-in-class tools, including Snowflake, Python, and Sigma Computing. Unique Data: Get access to massive, complex, and proprietary datasets spanning the entire payments ecosystem. High Visibility: This role partners directly with senior leadership, offering a clear path for professional growth and influence. About Aquent: Aquent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent has access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.