Junior Data Scientist

6w1 month ago

Blend360

Atlanta, US · Full-time · $80,000 – $90,000

About this role

Blend, a premier AI services provider, is seeking a highly motivated and analytically driven Junior Data Scientist to join their Fortune 100 financial services client'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 platforms such as Zelle, and other consumer payment products.

The position involves analyzing transactional data, uncovering customer insights, and delivering data-driven strategies to improve product performance, customer segmentation, and marketing effectiveness. Individuals will leverage Snowflake for cloud-based data management along with Python and SAS for advanced analytics and modeling.

Work occurs five days onsite per week in Atlanta with the banking partner's team. The role requires partnering with Marketing, Product Management, and Risk teams to align analytical insights with strategic objectives while supporting new product launches and portfolio optimization efforts.

This three-month consulting role offers potential for extension. It provides the opportunity to drive adoption of Sigma Computing as a collaborative platform and build interactive dashboards that enable self-service analytics and real-time business decision-making.

Requirements

Proficiency in Python and SAS for advanced analytics and modeling
Experience with Snowflake for cloud-based data management and optimization
Skills in Tableau, Qlik, and Sigma for producing interactive dashboards and reports
Ability to analyze large-scale transactional datasets in credit cards and payments
Knowledge of statistical and predictive modeling techniques including A/B testing
Understanding of ETL processes and data quality management for analytics-ready datasets

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.
Build and maintain ETL processes to transform raw data into analytics-ready datasets while leveraging Snowflake to manage large-scale data environments.
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.