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Cost & Asset Optimization - Data Science Analyst - Austin, TX - 2027

IBM

HybridAustin, TXentry$89k–$133kPosted 5h ago

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.

Preferred Education

Master's Degree

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

Ability to communicate with stakeholders

Exposure to process optimization leveraging AI tools