Data Science AI Engineer

Integral • Tysons, VA

1d

About The Position

The Data Scientist AI Engineer provides advanced data analytics, machine learning, and AI‑driven solution engineering to support the Department of Veterans Affairs (VA), Office of Information and Technology (OIT), Product Delivery Services (PDS), Benefits and Memorials (BAM), Memorial and Benefit Services (MBS) deliver secure, reliable, and effective Information Technology (IT) solutions that support the Department’s mission.

Requirements

• Bachelor’s Degree in computer science or IT related degree with 7-10 years' experience
• Demonstrated performance 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.
• Ability to create clear visualizations, reports, dashboards, and storytelling‑driven analytic outputs.
• Understanding of data governance, privacy, data stewardship, retention requirements, and authoritative data practices.
• Public Trust

Nice To Haves

• Certified Data Scientist (DASCA, Open Group, or equivalent).
• AWS Machine Learning Specialty or Azure AI Engineer Associate.
• Certifications in BI or analytics tools (Tableau, Power BI, Qlik, AWS QuickSight).

Responsibilities

• Provide recommendations for data‑driven AI/ML solutions; perform statistical analysis, anomaly detection, pattern recognition, and identification of outliers to support business improvement initiatives
• Develop predictive models to classify categorical variables and estimate continuous variables using advanced mathematical techniques
• Provide integration of predictive models into dashboards, reports, analysis outputs, and business workflows.
• Incorporate data analytics requirements into designs and data pipelines; deliver cross‑cutting tools for data migration, aggregation, mining, and analytical integration; and establish data baselines, analyze query patterns, and identify opportunities to optimize database and pipeline performance.
• 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 creating, monitoring, and improving forecasting, planning, and reporting cloud utilization for optimized cost and performance
• Work with Product, Architecture, Data/Middleware, and DevSecOps teams to integrate AI/ML and analytics solutions across environments.

Benefits

• paid parental leave
• immediate vesting in our 401(k)
• Medical, Dental & Vision Insurance
• Flexible Spending Accounts
• Short-Term and Long-Term Disability Insurance
• Life Insurance
• Paid Time Off & Holidays
• Earned Bonuses & Awards
• Professional Training Reimbursement
• Employee Assistance Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior