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A.C. Coy

Data Scientist – AI/Splunk (Remote)

Posted an hour ago
5-10 years experience
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AI Summary

The Data Scientist will analyze incident and performance trends to identify service improvements and resolve operational issues using Splunk and cloud-native monitoring tools. They will also develop predictive models, algorithms, and prototypes to enhance data quality and automation across enterprise systems.

Overview

  • Tier One Technologies is looking for a Data Scientist with an AI & Splunk expertise to support our direct US Government client.
  • This will be a 100% remote position.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities

  • Analyze and model Incident, Problem, and Change trends to identify opportunities for service improvements.
  • Perform and interpret data studies and experiments involving new data sources or new uses for existing data sources.
  • Leverage Splunk dashboards, alerts, and search queries to detect, investigate, and resolve operational issues in real time.
  • Utilize cloud-native monitoring and observability tools (AWS CloudWatch, Google Cloud Operations, Azure Monitor) to identify and address performance gaps.
  • Develop analytics using data mining, statistical, forecasting, and modeling techniques.
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analyses.
  • Determine new ways to improve data quality, search quality, and predictive capabilities.
  • Identify the right tools for data analysis, including tools external to the organization.
  • Leverage AI and machine learning to improve automation through data output, aggregation, analytics, algorithms, orchestration, and visualization.
  • Provide guidance and technical support to executives, contractors, and employees in other functional areas.
  • Enterprise Issue Identification & Solution Design
  • Proactively identify performance degradation, anomalies, and systemic issues across large enterprise systems using data-driven analysis.
  • Analyze API call patterns, response times, and latency trends to diagnose integration and performance issues across enterprise platforms.
  • Propose and document actionable solutions and remediation strategies for identified issues, working collaboratively with application, infrastructure, and network teams.

Qualifications

  • Bachelor’s degree in Computer Science, IT, a related field, or equivalent experience.
  • 8+ years of related IT experience.
  • Hands-on experience with AI and cloud platforms.
  • Advanced proficiency in Splunk.
  • Solid understanding of network technologies and their impact on API performance and latency.
  • Excellent analytical & communication skills.
  • Must be able to obtain a Public Trust clearance.
  • All candidates must be a US Citizen or have permanent residence status (Green Card).
  • Candidate must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.

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