POSITION OVERVIEW:

AI / Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include:

• Develop and implement predictive models and machine learning algorithms to identify patterns.
• Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities.
• Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks.
• Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations.
• Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data.
• Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects.
• Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders.
• Keep abreast of the latest developments in AI, machine learning, and data science.
• Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects.
• Participate in the development of strategies and policies related to crime prevention and detection.
• Assist in preparing reports and presentations for senior management and other stakeholders.

POSITION REQUIREMENTS:

• Python (Jupyter Notebook)
• AI/ML models for NLP
• Entity Resolution
• Link Analysis
• Graph data science and Neo4j for fraud detection and AML
• Data visualization and modeling
• Clearance Required: Current Secret required
• Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings

REQUIRED EDUCATION:

• Bachelor’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-6 years of relevant work experience.
• Or, a Master’s Degree with 2+ years of relevant work experience

PREFERRED SKILLS AND QUALIFICATIONS:

• AWS foundational technologies
• GenAI technologies

• Develop and implement predictive models and machine learning algorithms to identify patterns.
• Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities.
• Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks.
• Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations.
• Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data.
• Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects.
• Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders.
• Keep abreast of the latest developments in AI, machine learning, and data science.
• Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects.
• Participate in the development of strategies and policies related to crime prevention and detection.
• Assist in preparing reports and presentations for senior management and other stakeholders