T-Mobile US-posted about 1 year ago
$41,600 - $83,200/Yr
Full-time • Intern
Bellevue, WA
Telecommunications

This internship at T-Mobile offers a 12-week paid learning experience focused on data analysis and machine learning within the enterprise observability log management platforms. Interns will engage in hands-on projects, collaborate with cross-functional teams, and develop skills in data processing, visualization, and analytics, contributing to real-time data insights and system improvements.

  • Analyze machine data to identify trends, anomalies, and potential issues, providing insights for system improvements.
  • Develop dashboards and visualizations to provide insights into applications system performance and health.
  • Automate the collection, processing, and analysis of log data to improve efficiency.
  • Collaborate with teams to ensure comprehensive observability coverage.
  • Assist in data analytics projects, leveraging big data tools and techniques to derive actionable insights.
  • Develop and implement machine learning models for anomaly detection to identify outliers and unusual patterns in machine data.
  • Experience with at least one programming language (e.g., Python, Java).
  • Familiarity with logging and monitoring tools (e.g., ELK stack, Splunk, Prometheus, Grafana).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Understanding of machine learning algorithms and techniques for anomaly detection.
  • At least 18 years of age.
  • Legally authorized to work in the United States.
  • Must have graduated within the last 12 months, OR be actively enrolled in a Bachelors or Graduate degree program.
  • Paid internship experience
  • Networking opportunities with other interns and company leaders
  • Hands-on projects that create immediate impact
  • Relocation assistance for participants residing more than 50 miles from the internship location
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