Fraud Data Scientist, AI/ML

This is a fully remote position, open to applicants in District of Columbia, +1 more state.

📋 Description

• Utilize AI/ML analytical techniques on extensive datasets from various sources to identify cybersecurity threats and fraudulent activities.

• Design and implement analytical solutions in Databricks utilizing Python, SQL, and R.

• Generate, interpret, visualize, and report on intricate data sets.

• Deliver presentations of findings and recommendations to stakeholders ranging from analysts to senior leadership.

• Address ad hoc requests from stakeholders and provide timely responses.

• Collaborate across business units to discover, gather, consolidate, and analyze new data sources.

• Enhance the speed of analytical insight delivery through automation and the creation of reusable analytical pipelines.

• Identify and evaluate deficiencies in systems and processes, recommending solutions for improvement.

• Leverage AI/ML tools, including large language models, to expedite analytical tasks and script development.

• Simplify complex findings into accessible reports for stakeholders at all levels.

⛳️ Requirements

• At least 8 years of practical experience in fraud analytics, data science, or AI/ML focused on fraud or cybersecurity threat detection.

• Bachelor's degree in a relevant discipline (data science, statistics, computer science, mathematics, or a related field), or four additional years of relevant experience as a substitute for a degree.

• Advanced experience in designing, building, and deploying AI/ML solutions for fraud or anomaly detection.

• Proficient in Python and SQL for data analysis and model development.

• Practical experience with Databricks or a similar cloud analytics platform.

• Capable of conveying complex analytical results effectively to both technical and non-technical audiences.

• Skilled in leading specialized teams of data scientists, data engineers, and business intelligence professionals.

• Must be a U.S. citizen or a permanent resident.

• Ability to work from locations within the continental U.S.

• Experience with Azure Databricks is preferred.

• Familiarity with R, Tableau, and AWS is preferred.

• Experience with MLOps and model lifecycle management is preferred.

• Background in designing solutions that incorporate large language models or computer vision in secure environments is preferred.

• Knowledge of data strategy and governance is preferred.

• Experience managing delivery across multiple concurrent projects is preferred.

• Previous experience with federal contracting is preferred.

• Relevant cloud, data, or security certifications are preferred.

🏝️ Benefits

• 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.