Cost & Asset Optimization Data Science Analyst

IBM

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TX
Posted: 14 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $171k

$116k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $126,800–$216,000.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Cost & Asset Optimization Data Science Analyst

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Cost & Asset Optimization - Data Science Analyst works within the Cost & Asset Optimization team to optimize cash flow through Global Asset Recovery. This role involves collaborating with cross-functional teams, including product management, supply chain, procurement, development, engineering, and finance. The analyst will be responsible for analyzing competitors, market trends, and industry standards while improving processes through the application of automation and AI tools. To succeed in this position, the candidate must possess a degree in Data Science, IT, Computer Science, or Engineering. Key required skills include experience with agile practices, design thinking, problem-solving, business analysis, and strong communication abilities. The role specifically focuses on leveraging AI for process optimization within the infrastructure product portfolio to address challenges related to asset recovery and cash flow management.

Skills

Data Science AI Cloud Computing Agile Design Thinking Process Optimization Automation Cloud

What you'll do

Optimize cash flow through Global Asset Recovery initiatives.
Analyze competitors, market trends, and industry standards.
Improve business processes using automation and AI tools.
Apply data science and agile practices to optimize infrastructure products.
Utilize design thinking to improve internal workflows and product offerings.
Perform business analysis to identify opportunities for cost and asset optimization.

What we're looking for

Bachelor's Degree in Data Science, IT, Computer Science, or Engineering is required.
A Master's Degree is preferred.
Experience with agile practices and design thinking is required.
Strong written and verbal communication skills are required.
Problem solving and business analysis skills are required.
Ability to work three days from the office is required.
Technical expertise in Cloud & Technology and process optimization using AI tools is preferred.
Must be authorized to work without current or future visa sponsorship.

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