Data Scientist

IBM β€’ Austin, US

Company

IBM

Location

Austin, US

Type

Full Time

Job Description

Introduction

At IBM work is more than a job - it's a calling. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? The IBM Cost Optimization team is seeking a talented individual that can help manage an opportunity to partner across teams in finance supply chain product management development and engineering. Do you have a passion for collaborating across organizations and finding innovative ways to improve process? If so then please read on.
You will join a passionate team of high skilled experts that are fun-spirited collaborative and highly ingenious in finding win/win opportunities for the business. This is an opportunity to work collaboratively with a diverse group of experts across various disciplines to drive process improvements among Systems.

Your role and responsibilities

Work with stakeholders and others in a multidisciplinary team to worth through innovative opportunities that optimize cost.
Leverage AI tools financial analysis and data science to develop business cases including competitive benchmarking to support cost optimization and process improvements.

Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
Pursuing a Bachelor's or Master’s Degree in Data Science Cost and Product Engineering etcPrior (project or internship) exposure to cost-related roles and projects that involve cross-team collaboration.Exposure to supply chain development product management manufacturing or finance.Strong verbal and written communication skills.Passion for technology and engineering.Growth minded trusted team focused courageous resourceful and outcome focused.
Preferred technical and professional experience

Direct experience in Cost Engineering particularly with hardware offerings.
Experience and familiarity with programming and scripting tools

Apply Now

Date Posted

12/04/2025

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