Entry level Data Scientist: Systems Assurance Data Analytics - 2027

We are seeking a motivated and talented recent college graduate with a foundation in business data analytics to join our team. This position offers hands-on experience in data science, and systems quality assurance within a collaborative and agile environment. The successful candidate will be responsible for owning critical programs and discovering ways to introduce AI technologies to gain efficiencies and better client quality.

Your Role And Responsibilities

As a Systems Assurance Data Scientist, you’ll contribute to assuring the quality, 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)
• Client-specific analysis.
• Data visualization for stakeholders (Development, Test, Manufacturing, Client Support… teams) for monitoring, early warning, corrective actions…
• Quality Metrics calculation and validation.
• 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 Quality Targets for all current Servers, subsystems, and parts.

Bachelor's Degree

Required Technical And Professional Expertise

• Experience or coursework in software development, design, or testing
• 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
• Exposure to AI coding assistants (e.g., Watsonx Code Assistant)
• Knowledge of basic statistics and data modeling concepts
• Ability to learn and deploy dashboard & visual charts using approved software.

• Computer Science Knowledge: Exposure to computer science concepts and applications to analyze business issues and develop analytics solutions.
• Math Foundation: Experience working with mathematical techniques to drive business insights and inform decision-making.
• Operations Research Understanding: Exposure to operations research principles to optimize business processes and solve complex problems.