Data Scientist – AI/Splunk (Remote)

A.C. Coy•Arlington, VA

5d•Remote

About The Position

Tier One Technologies is looking for a Data Scientist with 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.

Requirements

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.

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.
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.