Cost & Asset Optimization Data Scientist

IBM; Austin (TX); Hybrid; USD 89,000 - 133,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Paid time off and leaves

Educational resources and training

Job summary

IBM is seeking a Data Science Analyst for Cost & Asset Optimization in Austin. You will collaborate across product management, supply chain, procurement, development, engineering, and finance to optimize processes using data-driven methods and AI tools.

The role emphasizes agile practices, design thinking, and strong communication to deliver business value while supporting IBM's asset optimization initiatives in a hybrid work environment.

Qualifications

• Bachelor's Degree in Data Science/IT/CS/Engineering required.
• 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.

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 processes through automation and AI tools.

Skills

Agile practices

Design thinking

Communication skills

Problem solving

Business analysis

Education

Bachelor's Degree in Data Science/IT/Computer Science/Engineering

Master's Degree (preferred)

Job description

IBM is seeking a Data Science Analyst for Cost & Asset Optimization in Austin. You will collaborate across product management, supply chain, procurement, development, engineering, and finance to optimize processes using data-driven methods and AI tools.

The role emphasizes agile practices, design thinking, and strong communication to deliver business value while supporting IBM's asset optimization initiatives in a hybrid work environment.