Data Scientist Data Analyst

Benefits: 401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Description AlleraIT is seeking a Data Scientist / Data Analyst for a federal client's compliance-review program. In this role, you will build, operate, and maintain a data-mining and analytics platform that ingests large volumes of monthly transaction data, applies business rules and risk-scoring logic to flag high-risk records for review, and delivers reporting dashboards that give program leadership real-time visibility into results. You will work closely with the Program Manager and the client's IT/security team to keep the platform compliant with federal certification and accreditation requirements.

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

Required Qualifications 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)

Preferred Qualifications 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)

Work Location & Travel This position performs remotely. Occasional in-person meetings may be required at the client's Bethesda, MD facility; routine travel is not expected.

Security Requirements This position requires the ability to obtain and maintain a Public Trust suitability determination at Level 5 (Moderate Risk). Candidates must be able to pass a background investigation, including fingerprinting, prior to accessing client information systems.

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