Entry-Level Systems Assurance Data Scientist (Hybrid)

IBM; North Carolina; Hybrid; USD 112,000 - 168,000; Full time

Job summary

IBM is seeking a recent graduate to join as a Systems Assurance Data Scientist. You will own critical analytics programs, analyze server telemetry, and create visualizations to monitor quality and drive improvements.

The role blends data science with quality assurance in a collaborative, agile environment in Durham, NC. Responsibilities include analyzing client-impacting events, prioritizing high-impact issues, and applying AI tools to improve efficiency and client outcomes.

Qualifications

• 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.

Responsibilities

• Own critical programs and discover ways to introduce AI technologies to gain efficiencies and better client quality.
• Perform data analytics for server systems event analysis and telemetry data.
• Create data visualizations for stakeholders across teams.
• Calculate and validate quality metrics; track fixes in the field.
• Prioritize high-impact events and manage quality targets for servers and subsystems.

Skills

Software development

Interpersonal skills

Agile teamwork

Growth mindset

Leadership potential

AI coding assistants

Statistics basics

Data visualization

Education

Bachelor's Degree

High School Diploma/GED

Tools

Watsonx Code Assistant

Job description

IBM is seeking a recent graduate to join as a Systems Assurance Data Scientist. You will own critical analytics programs, analyze server telemetry, and create visualizations to monitor quality and drive improvements.

The role blends data science with quality assurance in a collaborative, agile environment in Durham, NC. Responsibilities include analyzing client-impacting events, prioritizing high-impact issues, and applying AI tools to improve efficiency and client outcomes.