Data Scientist Intern - Poughkeepsie, NY

We are seeking a motivated and talented intern with a strong foundation in software development and data analytics to join our team. This position offers hands‑on experience in software engineering, data science, and systems quality assurance within a collaborative and agile environment.

Your role and responsibilities

As a Systems Assurance Data Scientist, you’ll contribute to assuring the availability and reliability of IBM’s industry‑leading Server technologies. Responsibilities such as but not limited to:

Data analytics for:

• 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.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

Skills we are Looking For

• 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
• Familiarity with development tools such as Git/Git Hub, 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
• Knowledge of basic statistics and data modeling concepts

• Data Visualization Tools: Exposure to data visualization tools and technologies to effectively communicate insights and findings to stakeholders.
• Machine Learning Concepts: Basic understanding of machine learning concepts and techniques to support data analysis and statistical modeling.
• Programming
  
  Languages:
  
  Interest in programming languages, such as Python or R, to support data extraction, transformation, and combination.

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future.

Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on‑going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives…