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

About the role

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.

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.

Qualifications

• Preferred: Master's Degree
• 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

Skills

• Exposure to Cloud & Technology
• Technical expertise
• Ability to communicate with stakeholders
• Exposure to process optimization leveraging AI tools