Start Date
Immediate
Expiry Date
29 Jul, 25
Salary
154990.0
Posted On
29 Apr, 25
Experience
6 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Sql, Spss, Predictive Modeling, Statistical Software, Python, Analytics, Sas, R, Excel, Communication Skills, Hadoop, Project Management Skills
Industry
Information Technology/IT
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
JOB DESCRIPTION
Responsible for working on big data analytics projects that gather, integrate large-scale data, and transform into actionable insights to drive finance data products initiatives. Design and deliver robust, reusable components and patterns including the finance data platform’s control framework, encompassing data quality, security, performance optimization, governance, and monitoring. Establishing best practices and standards for data engineering processes. Ensuring data accessibility, reliability, and compliance with enterprise standards and governance. Collaborate with business stakeholders to identify and prioritize potential machine learning use cases that drive business value. Design and implement data pipelines that support both traditional analytics and machine learning workflows and integrate ML Ops into the existing data platform framework.
This role is crucial in helping finance organizations make data-driven decisions, ensure regulatory compliance, and improve operational efficiency
BASIC QUALIFICATIONS
PREFERRED SKILLS/EXPERIENCE