Apply AI and machine learning to large, disparate datasets to detect fraud and cybersecurity threats. Build analytic solutions in Databricks using Python, SQL, and R; automate reusable pipelines; investigate stakeholder concerns; identify process gaps; recommend remediation; and communicate findings to technical and executive audiences. The role also involves directing specialized analytics teams and applying large language models to accelerate analysis and development.
Description
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.
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).
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
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
Dragonfly AI London, England Office
8-14 Vine Hill, London, United Kingdom, EC1R 5DX
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