Senior AI/ML Lead

Elder Research Inc.; Arlington (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology consulting firm in Arlington, VA is seeking a Senior AI/ML Lead. This hybrid position involves leading advanced machine learning initiatives for fraud detection and identity theft analytics. The ideal candidate should have a Bachelor's degree in a relevant field, over 3 years of experience in analytics, and strong programming skills in SQL and Python. Clear communication skills are necessary to translate analytic results effectively to stakeholders. Competitive package with IRS clearance required.

Qualifications

• 3+ years of experience in fraud detection or risk modeling.
• Demonstrated experience in full model lifecycle management.
• Strong experience with large-scale datasets.

Responsibilities

• Lead machine learning and analytics projects.
• Design models for detecting fraud and identity theft.
• Collaborate with engineers to integrate models into systems.
• Document methodologies and model performance metrics.

Skills

Machine learning

Applied statistics

Data science

SQL

Python

Feature engineering

Predictive modeling

Anomaly detection

Education

Bachelor of Science in a relevant field

Advanced degree (MS) in analytics or related fields

Tools

Databricks

PostgreSQL

Job description

Career Opportunities with Elder Research

A great place to work.

Careers At Elder Research

Current job opportunities are posted here as they become available.

Security Clearance Required - ACTIVE IRS MBI

Remote Type Hybrid

Time Type Full time

Description & Requirements

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.

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

Minimum Qualifications

• 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.

Preferred 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.

Clearance Requirements

• Must currently possess an IRS Public Trust clearance with Full Background Investigation

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.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations

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.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at [e-mail] and provide your name and contact information.