Data Scientist Intern - Poughkeepsie, NY - 2027

IBM is seeking a motivated Data Scientist Intern to support the assurance of the availability and reliability of its server technologies. The role focuses on analyzing server event, telemetry, quality, inventory, and parts data; creating visualizations and metrics; prioritizing corrective actions; and tracking issues and fixes in an agile team environment.

What you'll do:

• IBM Server Systems client impacting field event analysis (repairs, outages)
• System Telemetry data (diagnostics data)
• Data visualization for stakeholders (Development, Test, Manufacturing, Client Support… teams) for monitoring, early warning, corrective actions…
• Quality Metrics calculation and validation: MTBF, subsystem/part PPM rates
• Provide analytics for surgical field corrective actions
• Document and drive to closure issues impacting Server Systems quality
• Provide all applicable data analytics to prioritize higher impact (at client) and pervasive events
• Track the application of fixes in the Field
• Manage Server Systems Field install base Inventory
• Provide inventory data analytics (Features, Configurations, usage where available…) to Development, Portfolio Management
• Manage Parts data for Incidents and Part ppm tracking
• Manage Quality Targets for all current Servers, subsystems, and parts

What they're looking for:

• Bachelor's Degree
• Experience or coursework in software development, design, and/or testing
• Understanding of computer architecture and programming fundamentals
• Strong interpersonal and communication skills
• Ability to work effectively in a dynamic, agile team environment
• Self-motivated with a growth mindset and eagerness to learn
• Leadership potential and ability to take ownership of tasks
• Experience with at least one programming language (e.g., Python, Java, SQL), demonstrated proficiency in Python; familiarity with JavaScript or React is a plus
• Familiarity with development tools such as Git/GitHub, Visual Studio Code, Eclipse
• Exposure to AI coding assistants (e.g., IBM Bob)
• Experience with Python data science and machine learning libraries such as scikit-learn, pandas, PyTorch etc
• Understanding of data visualization tools and techniques