Jobs · Information Technology · Virginia

Senior AI/ML Lead

Elder Research · Arlington, VA · 1 wk ago
HybridInformation TechnologyFull-time

Responsibilities

Provide technical leadership for machine learning and advanced analytics initiatives.
Design, develop, and evaluate models used to detect fraud, identity theft, and anomalous behavior.
Support the full lifecycle of analytical models, including development, validation, deployment, and monitoring.
Assess, refresh, consolidate, and modernize existing analytical model portfolios.
Apply machine learning, statistical modeling, and AI techniques to large-scale datasets.
Collaborate with data engineers and subject matter experts to integrate models into operational systems.
Document methodologies, model performance metrics, and analytical findings.
Support technical reviews, program briefings, and stakeholder discussions.

Requirements

  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
    3+ years of experience applying analytics to fraud detection, identity theft analytics, risk modeling, or financial crime detection
    Advanced experience in machine learning, applied statistics, data science, or artificial intelligence
    Demonstrated experience supporting full model lifecycle management in production analytics environments
    Expertise in predictive modeling, anomaly detection, and supervised and unsupervised machine learning techniques
    Strong experience working with large-scale datasets in distributed or enterprise analytical environments, including Databricks, PostgreSQL, or similar platforms
    Proficiency in SQL, Python, and related analytical programming languages
    Experience performing feature engineering, model evaluation, model monitoring, and analytical workflow automation

Qualifications

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
    Familiarity with tax administration or financial transaction environments, including regulatory or compliance-driven analytics
    Ability to translate complex analytical results into insights usable by operational and program stakeholders
    Strong documentation and communication skills for technical and executive audiences

Benefits

Hybrid work schedule with several days onsite over the course of a month.

Pay

N/A

Schedule

N/A

Benefits

N/A

About the Role

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation, seeks a motivated, career and customer-oriented Senior AI/ML Lead to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month. We are seeking a Senior AI/ML Lead to drive advanced modeling and analytical approaches supporting fraud detection and identity theft analytics. This role provides technical leadership across the lifecycle of machine learning models used to detect risk, identify anomalous activity, and strengthen fraud prevention capabilities. The ideal candidate brings deep technical expertise and experience deploying analytical models in production environments operating at enterprise scale.

Security Clearance

Security Clearance Required - ACTIVE IRS MBI

Physical Requirements

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequent communication with co-workers, management, and customers, which may involve delivering presentations
  • Must be able to exchange accurate information in these situations

About Elder Research, Inc

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

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