Junior Data Scientist at Blend360

Our Fortune 100 financial services client is seeking a highly motivated and analytically driven Jr. Data Scientist to join their banking partner’s Consumer Payments & Credit Card Analytics team.  This role offers an exciting opportunity to work with large-scale datasets across credit cards, peer-to-peer (P2P) platforms such as Zelle, and other consumer payment products. This role involves analyzing transactional data, uncovering customer insights, and delivering data-driven strategies to improve product performance, customer segmentation, and marketing effectiveness.  The individual will leverage Snowflake for cloud-based data management, Python and SAS for advanced analytics and modeling, and leading business intelligence (BI) tools including Tableau, Qlik, and Sigma to produce actionable insights that guide strategic decisions. The Details: • Location: 3-4 days onsite per week required in Atlanta, GA (zip code: 30308) • Duration: 3-month consulting role with potential for extension or conversion to hire (must be able to work on Blend’s W2 without requiring employer sponsorship either now or in the future) • Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Employee Assistance Programs, and an incredibly supportive team cheering you on!What you’ll do: Analytics & Insights • Analyze credit card and P2P transaction data to identify trends, growth opportunities, and areas for improvement across products and customer segments. • Monitor and report on consumer behavior trends, including digital adoption and peer-to-peer payment activity, to inform business strategy. • Develop segmentation strategies to enable targeted marketing, product personalization, and enhanced customer engagement. • Define and track key performance metrics to measure portfolio health, marketing effectiveness, and product innovation impact.Advanced Modeling & Forecasting • Design and implement statistical and predictive models using Python and SAS to forecast trends, evaluate campaign performance, and measure customer lifetime value. • Support the development of data-driven marketing experiments and A/B testing strategies to optimize marketing initiatives.Cloud Data & Business Intelligence • Leverage Snowflake to manage and optimize large-scale data environments, ensuring high data quality and accessibility. • Build and maintain ETL processes to transform raw data into analytics-ready datasets. • Create interactive dashboards and reports in Tableau, Qlik, and Sigma to enable self-service analytics and real-time business decision-making. • Drive adoption of Sigma Computing as a collaborative platform for business users to explore data directly in Snowflake.Collaboration & Strategy • Partner with Marketing, Product Management, and Risk teams to align analytical insights with strategic objectives. • Provide analytical support for new product launches, feature enhancements, and portfolio optimization efforts. • Communicate findings and recommendations to senior leadership through clear, compelling data storytelling.