Senior AI & Data Science Engineer

Stryker Corporation; Tysons (VA); On-site; Confidential; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Spending Accounts

Short-Term and Long-Term Disability

Life Insurance

Paid Time Off & Holidays

Earned Bonuses & Awards

Professional Training Reimbursement

Employee Assistance Program

Job summary

Integral Federal is seeking a Data Science AI Engineer to provide advanced data analytics, ML, and AI-driven solution engineering for VA/OIT program delivery. You will implement predictive models, BI integrations, and data pipelines across enterprise platforms to support secure IT solutions and program objectives.

The role requires a strong background in data engineering, statistics, and data governance, with public trust clearance and collaboration across product, architecture, and DevSecOps

Qualifications

• Bachelor's degree in computer science or IT related field with 7-10 years' experience.
• Experience with Oracle/SQL, relational/non-relational data, APIs, ETL/ELT, data models/dictionaries.
• Experience performing statistical analysis, anomaly detection, predictive modeling, and data mining.
• Experience building analytic/data pipelines, 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

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

Oracle/SQL experience

APIs

ETL/ELT

Data modeling

Data governance

Analytics visualization

AI/ML model integration

Statistical analysis

Cloud utilization forecasting

Education

Bachelor's Degree in computer science or IT related field

Tools

Tableau

Power BI

AWS/Azure certifications

Job description

Integral Federal is seeking a Data Science AI Engineer to provide advanced data analytics, ML, and AI-driven solution engineering for VA/OIT program delivery. You will implement predictive models, BI integrations, and data pipelines across enterprise platforms to support secure IT solutions and program objectives.

The role requires a strong background in data engineering, statistics, and data governance, with public trust clearance and collaboration across product, architecture, and DevSecOps