Jr. Data Scientist

Blend360•Atlanta, GA

1d•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Financial Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
0–2 years of experience, including internships, in analytics, data science, or business intelligence.
Must be a recent graduate of Georgia Institute of Technology.
Proficiency in Python and SAS for analytics, modeling, and statistical analysis.
Strong SQL skills and hands-on experience with Snowflake or other cloud-based data warehouses.
Experience with BI tools, including Tableau, Qlik, and Sigma, for dashboard creation and data visualization.
Strong understanding of statistical techniques, marketing analytics, and customer segmentation methodologies.
Experience managing and manipulating large, complex datasets.
Strong problem-solving and critical thinking skills with a high attention to detail.
Excellent communication abilities, with the capability to present analytical findings to technical and non-technical stakeholders.
Collaborative mindset and eagerness to learn and grow in a dynamic, fast-paced environment.

Responsibilities

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.
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.
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.
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.