Cost & Asset Optimization Data Science Analyst

IBM

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Poughkeepsie, NY
Posted: 14 days ago
Freshness: Confirmed live yesterday
Nearby: 55 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 $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$214,500.

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 will join the Cost & Asset Optimization team to help optimize cash flow through Global Asset Recovery. Working within a cross-functional environment involving product management, supply chain, procurement, development, engineering, and finance, this individual will analyze competitors, market trends, and industry standards. The role focuses on improving processes by utilizing automation and AI tools. To succeed, the candidate must possess a degree in Data Science, IT, Computer Science, or Engineering. Key competencies include experience with agile practices, design thinking, and problem-solving skills. Technical expertise includes familiarity with cloud technology and process optimization using AI tools. The role is centered on solving business problems related to infrastructure portfolio management and optimizing internal workflows through data-driven insights and technical innovation within the specific domain of asset recovery.

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.
Communicate technical information and project updates to various stakeholders.

What we're looking for

Must possess a Bachelor's Degree in Data Science, IT, Computer Science, or Engineering.
A Master's Degree is preferred.
Experience with agile practices and design thinking is required.
Strong written and verbal communication skills are required.
Proficiency in problem solving and business analysis is required.
Ability to work three days per week from the office.
Preferred experience includes exposure to Cloud & Technology.
Must be authorized to work without current or future visa sponsorship.

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