Data Scientist / Data Analyst

Overview

Remote
130000 - 150000
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Data Science
Auditing
Data Visualization
Data Quality
Data Analysis
Data Governance
Information Systems
Business Intelligence
Advanced Analytics
NumPy
Modeling
Microsoft Power BI
Pandas
Predictive Modelling
Predictive Analytics
Risk Management
SQL
Tableau

Job Details

Job Title: Data Scientist/Data Analyst

Company: Arch Systems

Client: CMS - Site Verification Services - Eastern and ACF OHS

Location: Remote

Job Type: Full Time

Note: Looking for candidates with Federal Experience and Security Clearance only.

 

Position Overview:

The Data Scientist/Data Analyst - Inspection Analytics & Compliance Intelligence supports multiple federal programs by designing and deploying advanced analytics and data science solutions that improve data quality, compliance oversight, operational efficiency, and risk management. This role applies predictive modelling, statistical analysis, and automated analytics to large, complex datasets across CMS, ACF OHS and other federal agency projects.

The Data Scientist partners with Quality Assurance, Operations, Program Integrity, and Leadership teams to proactively identify risks, forecast performance issues, reduce rework, and support evidence-based decision-making across federal contracts. While CMS inspection and compliance data may be a primary focus, this role is structured to scale across diverse federal initiatives, including audit support, monitoring programs, quality oversight, and performance measurement.

This position plays a key role in advancing the organization’s enterprise analytics capability by developing reusable analytical frameworks, standardized dashboards, and scalable risk models applicable across multiple federal projects.

 

Key Responsibilities

  • Design, develop, and maintain predictive analytics, statistical models, and risk-scoring frameworks to support federal compliance, oversight, and monitoring programs
  • Apply advanced statistical analysis, trend analysis, and anomaly detection across datasets from CMS and other federal agencies
  • Build rule-based, regression, clustering, and machine learning models to identify high-risk cases, systemic compliance gaps, and operational inefficiencies
  • Develop and automate dashboards, analytical reports, and performance metrics tailored to federal contract requirements and agency stakeholders
  • Perform root cause analysis and driver modelling to understand contributors to errors, rework, and performance degradation
  • Support secondary review prioritization by delivering data-driven risk stratification and scoring outputs
  • Translate complex analytical findings into clear, actionable insights for QA, Operations, and executive leadership
  • Recommend process improvements, automation opportunities, and targeted retraining strategies based on analytical evidence
  • Collaborate with cross-functional teams to integrate analytics into federal program operations and quality management workflows
  • Develop standardized and reusable analytics frameworks that can be deployed across multiple federal projects
  • Ensure all analytical solutions align with federal contractual requirements, data governance standards, and audit readiness expectations

Federal Project Scope (Examples)

This role may support analytics initiatives across federal programs such as:

  • CMS site inspections, audits, and compliance monitoring
  • Program integrity and fraud, waste, and abuse (FWA) analytics
  • Quality assurance and performance oversight programs
  • Data validation, reconciliation, and monitoring initiatives
  • Operational risk modeling for federally funded programs

 

Minimum Requirements

  • Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, Information Systems, or a related quantitative field
  • 5+ years of experience in data science, advanced analytics, or quantitative analysis supporting federal, healthcare, or compliance-driven programs
  • Demonstrated experience developing predictive models, statistical analyses, and analytical risk frameworks using large and complex datasets
  • Proficiency in Python or R, SQL, and data analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels)
  • Experience with data visualization and BI platforms such as Power BI, Tableau, or similar tools
  • Proven ability to build automated dashboards, performance metrics, and reporting pipelines
  • Familiarity with CMS or other federal data systems preferred
  • Strong analytical thinking, problem-solving skills, and ability to communicate technical findings to non-technical stakeholders

Preferred Qualifications

  • Experience supporting multiple federal contracts or agencies
  • Knowledge of federal compliance, audit analytics, or program integrity frameworks
  • Exposure to machine learning deployment, automation, or scalable analytics architectures
  • Understanding of federal data governance, security, and documentation requirements
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.