Data Scientist Intern - Poughkeepsie, NY - 2027

About the job

Introduction

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
• 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
• Knowledge of basic statistics and data modeling concepts
• Ability to learn and deploy dashboard & visual charts using React or other javascript libraries.

Preferred technical and professional experience

• 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.