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.
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.