Data Scientist II
Core
Design, develop, and deliver advanced analytics solutions and automated insights to support data-driven decision-making in Business Banking.
Role type
Mid-level IC data scientist (business analytics & ML)
Builds
Scalable data assets, automated analytics, and decision-support solutions for business banking operations.
Domain
Financial services / Business Banking
Required skills
Statistical modeling, machine learning, data mining, Python, PySpark, SQL, data visualization, business acumen, hypothesis testing
Preferred skills
Graduate degree, SAS, experience developing data-driven strategies
Technologies
Python, PySpark, SQL, Tableau, PowerBI, Databricks
Responsibilities
Leverage analytics and ML to uncover insights and optimize business outcomes; Partner with stakeholders to translate business needs into analytical solutions; Extract and prepare data from large datasets; Visualize insights for decision-makers; Collaborate with AIML scientists and product owners to develop scalable solutions; Communicate scientific principles and validation results to drive organizational excellence.
Seniority
Mid-level, hands-on IC