Fraud Data Scientist (AI/ML)

Responsibilities

Apply AI/ML analytic approaches to large volumes of data to uncover cybersecurity threats and fraud schemes. Develop analytic solutions in Databricks and present findings to stakeholders while automating pipelines to improve efficiency.

Requirements

Requires a minimum of 8 years of hands-on experience in fraud analytics, data science, or AI/ML applied to security. Candidates must hold a bachelor's degree or equivalent experience and possess U.S. Citizenship or Permanent Residency.

Skills

• Fraud analytics
• Data science
• AI/ML
• Python
• SQL
• R
• Databricks
• Cybersecurity
• Anomaly detection
• Data visualization
• Large language models
• MLOps
• Cloud analytics
• Data governance
• Stakeholder communication
• Automation

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) with employer match
• Long-term disability insurance
• Life insurance
• Accidental death and dismemberment insurance
• Paid time off
• Paid federal holidays

About this role

Dragonfli Group is a cybersecurity and IT consulting firm providing services to federal agencies and Fortune 100 enterprises. Headquartered in Washington, DC, Dragonfli supports clients in securing mission-critical systems across on-site, hybrid, and fully remote environments.

Dragonfli Group is seeking two Fraud Subject Matter Experts (SMEs) to join a cybersecurity analytics team supporting a large federal agency. This is a fully remote role. You will apply AI and machine learning analytics to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes, build analytic solutions in Databricks using Python, SQL, and R, and translate complex findings into clear reporting for stakeholders at every level. The ideal candidate brings a minimum of 8 years of hands-on experience in fraud analytics, data science, or AI/ML applied to security or fraud detection, and the curiosity to find gaps in systems and processes and recommend practical remediation.

This is a multi-year contract position involving a large US federal agency. Candidates with previous federal contracting experience are preferred. U.S. Citizenship or Permanent Residency is required. If hired, all work related to this role must be performed within the continental U.S.

Job responsibilities:
Apply AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization.
Develop analytic solutions in Databricks using Python, SQL, and R to create, interpret, visualize, and report on complex data.
Present findings and recommendations to stakeholders at all levels, from analysts to senior leadership.
Respond to ad hoc stakeholder requests to investigate concerns and deliver timely answers.
Work across business units to identify, collect, aggregate, and analyze new data sources that advance the team's mission.
Reduce the time needed to deliver analytical insights through automation and reusable analytic pipelines.
Identify and analyze gaps in systems and processes, and recommend remediation to better deter cybersecurity threats and fraudulent activity.
Apply AI/ML tools, including large language models, to accelerate analytic work and script development.

Requirements
Must-Have
Minimum of 8 years of hands-on experience in fraud analytics, data science, or AI/ML applied to fraud or cybersecurity threat detection.
Bachelor's degree in a relevant field (data science, statistics, computer science, mathematics, or similar), or four additional years of relevant experience in lieu of a degree.
Demonstrated expert-level experience designing, building, and deploying AI/ML solutions for fraud or anomaly detection, developed over many years of client work delivering solutions.
Proficiency in Python and SQL for data analysis and model development.
Hands-on experience with Databricks or a comparable cloud analytics platform.
Ability to communicate complex analytic results clearly to technical and non-technical audiences, and to direct specialized teams of data scientists, data engineers, and business intelligence specialists.
U.S. Citizenship or Permanent Residency, and the ability to work from within the continental U.S.

Preferred / Nice-to-Have
Experience with Azure Databricks.
Experience with R, Tableau, and AWS.
Experience with MLOps and model lifecycle management.
Experience designing solutions that use large language models or computer vision in secure environments.
Experience with data strategy and governance.
Experience managing delivery across multiple concurrent engagements.
Previous federal contracting experience.
Relevant certifications (for example, cloud, data, or security certifications).

Skill(s)
Technical Skills
AI/ML for fraud detection and anomaly detection
Data science and advanced analytics
Databricks (Azure preferred)
Python, SQL, and R
Data visualization and reporting (Tableau preferred)
Cloud platforms (AWS, Azure)
MLOps and model lifecycle management
Large language models and AI-assisted development
Data strategy and governance

Soft Skills
Clear written and verbal communication with stakeholders at all levels
Investigative curiosity and sound analytical judgment
Ability to prioritize and respond quickly to ad hoc requests
Cross-team collaboration and stakeholder engagement
Self-direction in a fully remote environment

Benefits
Dragonfli Group offers a comprehensive benefits package that includes:
Medical — Multiple POS health plan options including an HSA-compatible plan
Dental — PPO coverage for preventive, basic, and major services
Vision — Annual exam, frames, lenses, and contact lens allowance
401(k) — Employer match up to 5% of eligible compensation
Long-Term Disability — 100% employer-paid coverage at 50% of pre-disability earnings
Life Insurance & AD&D — 100% employer-paid coverage valued at $10,000 each
PTO — 15–25 days annually based on tenure
Paid Federal Holidays — All 11 federal holidays observed

Travel
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About Dragonfli Group

IT Services and IT Consulting · 11-50 employees · headquartered in Washington, District of Columbia · founded 2008