Entry Level Data Scientist, Systems Assurance Data Analytics

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Posted: 15 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $153k

$87k most similar roles pay here $207k

This listing doesn't post a salary. Most similar roles pay $126,800–$180,000.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · Entry Level Data Scientist, Systems Assurance Data Analytics

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Entry level Data Scientist: Systems Assurance Data Analytics - 2027 is a role within the systems assurance team focused on ensuring the quality, availability, and reliability of server technologies. The successful candidate will perform data analytics for field events like repairs and outages, analyze system telemetry diagnostics, and create visualizations for stakeholders to monitor performance and drive corrective actions. Key responsibilities include calculating quality metrics, tracking the application of fixes in the field, and managing quality targets for various subsystems. To succeed, candidates should possess skills in software development, testing, basic statistics, and data modeling. The role requires proficiency in creating dashboards and visual charts while utilizing AI coding assistants like Watsonx Code Assistant. Candidates should have a foundation in computer science, mathematical techniques to drive business insights, and an understanding of operations research principles.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Data Analytics AI Watsonx Code Assistant Software Development Data Modeling Statistics Operations Research Agile Data Visualization Systems Quality Assurance Cloud Computing

What you'll do

Analyze system telemetry and field event data to ensure server quality and reliability.
Create data visualizations for stakeholders to monitor performance and trigger corrective actions.
Calculate and validate quality metrics for servers, subsystems, and parts.
Provide analytics to prioritize high-impact and pervasive events for technical teams.
Track the application of fixes in the field to improve product stability.
Document and drive the resolution of issues impacting server systems quality.
Identify and implement AI technologies to improve operational efficiency and client quality.

What we're looking for

High School Diploma or GED required.
Bachelor's Degree (preferred).
Experience or coursework in software development, design, or testing.
Knowledge of basic statistics and data modeling concepts.
Ability to develop dashboards and visual charts using approved software.
Exposure to AI coding assistants (preferred).
Computer Science knowledge to analyze business issues and develop analytics solutions (preferred).
Experience with mathematical techniques, operations research principles, or advanced math foundations (preferred).