Cost & Asset Optimization - Data Science Analyst - Poughkeepsie, NY - 2027

Job description

Introduction

Are you excited to learn about IBM's Infrastructure product portfolio and optimize process along side cross-functional teams? If so, this is a great opportunity to leverage data science, agile practices and design thinking to understand IBM brands and learn how to optimize cash flow through Global Asset Recovery within our Cost & Asset Optimization team.

Your role and responsibilities

Collaborate with cross-functional teams (product management, supply chain, procurement, development, engineering and finance). Analyze competitors, market trends and industry standards. Optimize and improve process through use of automation and AI tools.

Required technical and professional expertise

Bachelor's Degree in Data Science/IT/Computer Science/Engineering Exposure to agile practices and design thinking Strong written and verbal communication skills Problem solving and business analysis skills Ability to work three days from the office

Preferred technical and professional experience

Exposure to Cloud & Technology Technical expertise and ability to communicate with stakeholders Exposure to process optimization leveraging AI tools IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.