Cost & Asset Optimization - Data Science Analyst - Poughkeepsie, NY - 2027
IBMCost & Asset Optimization - Data Science Analyst - Poughkeepsie, NY - 2027
IBMLocation
Poughkeepsie, NY
Type
Full-time
Posted
9/15/2026
Compensation
$88,800 - $133,200 per year
Job description
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 analyst will work alongside cross-functional teams, including product management, supply chain, and finance, to analyze market trends and improve processes. This entry-level position is ideal for individuals eager to learn about IBM's Infrastructure product portfolio. The role emphasizes collaboration and the use of automation and AI tools to enhance operational efficiency.
Requirements
- Bachelor's degree in Data Science, IT, Computer Science, or Engineering
- 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 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.
Benefits
- IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.
H-1B filing history
Public USCIS petition and DOL LCA counts · latest USCIS FY2026, LCA FY2026
Filing entity: Ibm Corporation
As of Aug 23, 2026
Initial approvals
656
FY2026
Approval rate
97.2%
FY2026
LCA certified
391
FY2026
Entry-level share
0.0%
FY2026
Initial approvals YoY
+31%
Trend
LCA certified YoY
-85%
Trend
Initial approvals by fiscal year
Approval rate by fiscal year
Continuing vs initial approvals
LCA certified positions by quarter
LCA certified positions by fiscal year
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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