The Cost & Asset Optimization - Data Science Analyst role at IBM focuses on leveraging data science and agile practices to optimize cash flow through Global Asset Recovery. The position is part of a cross-functional team that collaborates with product management, supply chain, and finance. This entry-level position offers an opportunity to analyze market trends and improve processes using automation and AI tools. The ideal candidate will be eager to learn about IBM's infrastructure product portfolio and contribute to innovative solutions.

• Bachelor's degree in Data Science, IT, Computer Science, or Engineering is required.
• Exposure to agile practices and design thinking is necessary.
• Strong written and verbal communication skills are essential.
• Problem-solving and business analysis skills are required.
• Ability to work three days from the office is necessary.

• Collaborate with cross-functional teams including product management, supply chain, and finance.
• Analyze competitors, market trends, and industry standards.
• Optimize and improve processes through the use of automation and AI tools.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.