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Fraud Data Scientist, AI/ML
Dragonfli Group. Apply AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applying AI/ML analytic approaches to detect fraud and cybersecurity threats, utilizing tools such as Python, SQL, and Databricks. Capable of translating complex data findings into actionable insights for diverse stakeholders while managing multiple projects effectively.
Highest-signal resume keywords
AI/ML Solution DesignFraud AnalyticsPython ProficiencyDatabricks ExperienceData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML AnalyticsFraud DetectionData SciencePythonSQLRData VisualizationAutomationMLOpsModel Lifecycle Management
Soft Skills
CommunicationStakeholder EngagementTeam LeadershipAnalytical ThinkingProblem Solving
Tools & Technologies
DatabricksAzure DatabricksAWSTableauLarge Language ModelsComputer Vision
Certifications & Qualifications
Cloud CertificationsData CertificationsSecurity Certifications
Industry Keywords
CybersecurityData StrategyData GovernanceFederal ContractingAnomaly Detection
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityPythonSQLTableau
About the role
Key responsibilities & impact- 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
- Create, interpret, visualize, and report on complex data
- Present findings and recommendations to stakeholders from analysts to senior leadership
- Respond to ad hoc stakeholder requests and deliver timely answers
- Work across business units to identify, collect, aggregate, and analyze new data sources
- Reduce analytical insight delivery time through automation and reusable analytic pipelines
- Identify and analyze gaps in systems and processes and recommend remediation
- Apply AI/ML tools, including large language models, to accelerate analytic work and script development
- Translate complex findings into clear reporting for stakeholders at every level
Requirements
What you’ll need- 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
- 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
- Ability to direct specialized teams of data scientists, data engineers, and business intelligence specialists
- U.S. Citizenship or Permanent Residency
- Ability to work from within the continental U.S.
- Experience with Azure Databricks preferred
- Experience with R, Tableau, and AWS preferred
- Experience with MLOps and model lifecycle management preferred
- Experience designing solutions using large language models or computer vision in secure environments preferred
- Experience with data strategy and governance preferred
- Experience managing delivery across multiple concurrent engagements preferred
- Previous federal contracting experience preferred
- Relevant cloud, data, or security certifications preferred
Benefits
Comp & perks- 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
- Fully remote work arrangement