Data Scientist / Data Analyst

Summary

AlleraIT Solutions LLC is a woman-owned small business focused on providing high-value IT and management services to government clients. They are seeking a Data Scientist / Data Analyst to support a federal client's compliance-review program by building and maintaining a data-mining and analytics platform, ensuring compliance and delivering insightful reporting dashboards.

Responsibilities

• Develop and maintain ETL pipelines ingesting transaction and operational data extracts from multiple source systems
• Design, implement, and periodically refresh business rules and statistical/risk-scoring logic in coordination with the client
• Support the federal Certification & Accreditation (C&A) process for the analytics tool, ensuring it operates within the client's approved security boundary
• Build and maintain reporting dashboards that feed recurring activity reports and review-status tracking for program leadership
• Reconcile and normalize data from source systems with inconsistent schemas or formats, flagging anomalies for analyst review
• Ensure all data processing and storage occurs within client-approved, client-hosted systems (no contractor-hosted data storage)
• Collaborate with compliance reviewers/auditors to translate program policy and audit criteria into automated business rules

Skills

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field (Master's preferred)
• Minimum 4–6 years of experience building data pipelines, statistical/ML models, or business-rule engines against large operational or financial datasets
• Hands-on experience with tools such as Python, R, SQL, and data visualization/BI platforms (e.g., R-Shiny, Power BI, Tableau)
• Experience working with large, multi-source datasets, including data cleansing, harmonization, and quality validation
• Strong written and verbal communication skills; comfortable presenting findings to non-technical stakeholders and program leadership
• U.S. Citizenship required; ability to obtain and maintain a Public Trust clearance (Level 5, Moderate Risk), including a Minimum Background Investigation (MBI) or Limited Background Investigation (LBI)
• Prior experience supporting a federal government client or federal contractor
• Experience with cloud-based large-scale data processing (e.g., Apache Spark, Databricks)
• Familiarity with federal information security frameworks (FISMA, NIST SP 800-53) and system Certification & Accreditation (C&A) processes
• Experience building risk-scoring or predictive models that have undergone independent/formal validation or accreditation
• Relevant technical certifications (e.g., cloud platform, data engineering)

Qualifications

Must Haves

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field (Master's preferred)
• Minimum 4–6 years of experience building data pipelines, statistical/ML models, or business-rule engines against large operational or financial datasets
• Hands-on experience with tools such as Python, R, SQL, and data visualization/BI platforms (e.g., R-Shiny, Power BI, Tableau)
• Experience working with large, multi-source datasets, including data cleansing, harmonization, and quality validation
• Strong written and verbal communication skills; comfortable presenting findings to non-technical stakeholders and program leadership
• U.S. Citizenship required; ability to obtain and maintain a Public Trust clearance (Level 5, Moderate Risk), including a Minimum Background Investigation (MBI) or Limited Background Investigation (LBI)

Nice to Haves

• Prior experience supporting a federal government client or federal contractor
• Experience with cloud-based large-scale data processing (e.g., Apache Spark, Databricks)
• Familiarity with federal information security frameworks (FISMA, NIST SP 800-53) and system Certification & Accreditation (C&A) processes
• Experience building risk-scoring or predictive models that have undergone independent/formal validation or accreditation
• Relevant technical certifications (e.g., cloud platform, data engineering)

Benefits

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance