Note: The job is a remote job and is open to candidates in USA. DigiTran Technologies Inc. is seeking an AI Data Scientist to support a federal client’s modernization efforts through service management and performance analytics. The role focuses on analyzing enterprise system performance, leveraging AI, machine learning, cloud monitoring, and Splunk, and designing data-driven solutions for operational and integration issues.
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
Skills
- A minimum of eight (8) to twelve (12) years' relevant experience
- A degree from an accredited college or university in Data Science, Computer Science, Information Systems, Statistics, or a related field. Note: If the individual's degree is not in the applicable field, then four additional years of related experience is required
- ITIL Foundation certification or higher
- Experience with ServiceNow Performance Analytics module
- Experience supporting federal or large enterprise IT environments
- Familiarity with machine learning platforms and orchestration tools
- Experience with cloud-native monitoring tools such as AWS CloudWatch, Google Cloud Operations Suite, or Azure Monitor
- Experience with network performance analysis tools and APM (Application Performance Monitoring) platforms
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