[Remote] Data Science AI Engineer

Note: The job is a remote job and is open to candidates in USA. Integral provides technology solutions to federal defense, intelligence, and civilian organizations. The Data Science AI Engineer will develop and integrate data analytics, machine learning, and AI-driven solutions, including predictive models, data pipelines, business intelligence tools, and FinOps capabilities, while supporting data quality, governance, and enterprise integration.

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

Skills

• 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
• 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)

Benefits

• Paid parental leave
• Immediate vesting in the 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

Company Overview

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