Fraud Data Scientist (AI/ML)

Dragonfli Group • Washington, DC

2h • Remote

About The Position

Dragonfli Group is seeking two Fraud Subject Matter Experts to join a cybersecurity analytics team supporting a large federal agency. This fully remote role applies AI and machine learning analytics to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes. The position develops analytic solutions in Databricks using Python, SQL, and R, and translates complex findings into clear reporting for stakeholders at all levels. The work also involves finding gaps in systems and processes and recommending practical remediation.

This is a multi-year contract position involving a large U.S. federal agency. Previous federal contracting experience is preferred. U.S. citizenship or permanent residency is required, and all work must be performed within the continental United States.

Requirements

• 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.
• 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 ability to work from within the continental U.S.
• 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.

Nice To Haves

• 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, such as cloud, data, or security certifications.

Responsibilities

• Apply AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes.
• 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.

Benefits

• Medical coverage with multiple POS health plan options, including an HSA-compatible plan.
• Dental PPO coverage for preventive, basic, and major services.
• Vision coverage including an annual exam, frames, lenses, and a contact lens allowance.
• 401(k) with employer match up to 5% of eligible compensation.
• Long-term disability coverage, 100% employer-paid at 50% of pre-disability earnings.
• Life insurance and AD&D, both 100% employer-paid and valued at $10,000 each.
• 15–25 days of PTO annually based on tenure.
• All 11 federal holidays observed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior