Data Scientist IV

PlanIT Group; Reston (VA); On-site; USD 130,000 - 185,000; Full time

Job summary

PlanIT Group is seeking a Data Scientist with AI/cloud expertise to support a federal modernization effort. You will contribute SME services across service level management, performance analytics, and data-driven improvements.

Responsibilities include analyzing trends, leveraging Splunk dashboards, and applying ML to automate performance and quality improvements across enterprise systems.

Qualifications

• Bachelor's or higher in data science, CS, IS, or stats.
• 8–12 years of relevant experience in data science or IT analytics.
• US citizen or Green Card holder with 5 years in the US.

Responsibilities

• Analyze incident, problem, and change trends for service improvements.
• Perform data studies and experiments with new data sources.
• Use Splunk dashboards and queries to detect real-time issues.
• Leverage cloud monitoring tools (AWS/GCP/Azure) for performance gaps.
• Develop analytics via data mining, statistics, forecasting.
• Create prototypes, models, and analyses to drive decisions.
• Improve data and search quality, predictive capabilities.
• Identify suitable tools for data analysis beyond org.
• Apply AI/ML to automate data workflows and visualization.
• Provide SME guidance to executives and teams.

Skills

Data Science

AI/ML

Cloud

Splunk

Monitoring

Analytics

Education

Data Science degree

Related field degree + experience

Tools

AWS CloudWatch

Google Cloud Operations

Azure Monitor

ServiceNow Performance Analytics

APM tools

Job description

Reston, VA On-Site Flexibility/Remote: 100%

Job Description

Seeking a Data Scientist with expertise in AI technologies, cloud environments, and enterprise systems monitoring to support our federal client's modernization efforts. In this critical role, the candidate will contribute to the IT Performance Achievement - Service Management Office of the U.S. Postal Service (US Government Client), providing Subject Matter Expert (SME) services across service level management, performance analytics, problem resolution, and data-driven continuous service improvement.

Key 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.

Required Qualifications

• 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.
• Must be a U.S Citizen or have permanent residence status (Green Card)
• Candidate must have lived in the United States for the past 5 years.
• Candidate must have an active Public Trust.

Preferred Qualifications

• 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.