Data Science AI Engineer
On-siteTysons, Virginia, United States
Job Summary
Provide recommendations for data-driven AI/ML solutions and perform statistical analysis, anomaly detection, and pattern recognition to support business improvement initiatives. Develop predictive models for classification and regression, then integrate them into dashboards, reports, and workflows. Incorporate analytics requirements into designs and pipelines, delivering cross-cutting tools for migration, aggregation, and performance optimization. Detect and resolve data quality issues while enabling FinOps capabilities through cloud utilization forecasting. Collaborate with Product, Architecture, and DevSecOps teams to integrate AI/ML solutions across environments.
Required Qualifications
- 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
Desired Qualifications
- 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)
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