Data Scientist Intern in Poughkeepsie, NY

Job Description

We are looking for 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.

As a Systems Assurance Data Scientist, you will contribute to assuring the availability and reliability of IBM's industry-leading Server technologies.

Responsibilities

• Data analytics for IBM Server Systems client impacting field event analysis (repairs, outages).
• System Telemetry data (diagnostics data) analysis.
• 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.

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.
• 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.