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IBM

Entry Level: Data Scientist: Advanced Analytics

IBM
United States · Full-time · Mid-Senior
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:
  • 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

Master's Degree

Required Technical And Professional Expertise

  • Experience or coursework in software development, design, 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., Watsonx Code Assistant)
  • 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

  • Recent (Dec 2025-2026) graduate in Computer Engineering, Computer Science, Data Science or related fields.
  • Passionate about innovation and emerging technologies.
  • Eager to learn and grow in a collaborative environment.

Key Skills

Ranked by relevance

python server data visualization javascript react machine learning pytorch pandas java sql ai
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United States

World’s deepest and highest-paying tech market

Posted
Nov 04, 2025
Type
Full-time
Level
Mid-Senior
Location
Poughkeepsie
Company
IBM

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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