Data Science & AI Engineer — Enterprise Analytics Leader

Integral; Tysons (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Spending Accounts

Paid Time Off & Holidays

Earned Bonuses & Awards

Professional Training Reimbursement

Employee Assistance Program

Job summary

Integral is seeking a Data Scientist AI Engineer to design and implement advanced analytics, ML, and AI-driven solutions for federal IT programs. You will collaborate with Product, Architecture, Data/Middleware, and DevSecOps teams to deliver analytics across environments and support cost-efficient cloud usage.

Role emphasizes building scalable BI solutions, data pipelines, and data governance while producing clear visualizations and actionable insights for mission-critical projects.

Qualifications

• Bachelor’s Degree required in computer science or IT related field; 7–10 years of experience preferred.
• Experience with Oracle/SQL, relational/non-relational data, APIs, ETL/ELT, data models/dictionaries, migration architecture, reconciliation.
• Experience performing statistical analysis, anomaly detection, predictive modeling, and data mining.
• Experience building analytic/data pipelines (ETL/ELT), data baselines, and scalable data processing systems.
• Experience developing BI solutions, dashboards, and data-driven decision-support models.
• Experience supporting data governance, quality analysis, and compliance requirements.
• Experience integrating AI/ML models into enterprise applications, reporting platforms, or operational workflows.

Responsibilities

• Provide recommendations for data-driven AI/ML solutions and perform statistical analysis, anomaly detection, pattern recognition, and outlier identification to support business improvements.
• Develop predictive models to classify categorical variables and estimate continuous variables using advanced techniques.
• Integrate predictive models into dashboards, reports, and business workflows.
• Incorporate data analytics requirements into designs and data pipelines; deliver cross-cutting tools for data migration, aggregation, mining, and analytical integration; establish data baselines and analyze query patterns.
• Recommend and develop BI solutions that support analytics, reporting, and legacy system decommissioning.
• Detect and resolve data quality issues, performing impact analysis for errors and deficiencies.
• Enable FinOps capabilities by monitoring and improving forecast, planning, and reporting of cloud utilization for cost/performance optimization.
• Collaborate with Product, Architecture, Data/Middleware, and DevSecOps teams to integrate AI/ML and analytics solutions across environments.

Skills

Statistical analysis

Anomaly detection

Pattern recognition

Data mining

Clear visualization and storytelling

Education

Bachelor’s Degree in Computer Science or IT related field

Tools

Oracle/SQL

APIs

ETL/ELT

Tableau

Power BI

Qlik

AWS QuickSight

Job description

Integral is seeking a Data Scientist AI Engineer to design and implement advanced analytics, ML, and AI-driven solutions for federal IT programs. You will collaborate with Product, Architecture, Data/Middleware, and DevSecOps teams to deliver analytics across environments and support cost-efficient cloud usage.

Role emphasizes building scalable BI solutions, data pipelines, and data governance while producing clear visualizations and actionable insights for mission-critical projects.