Senior Data Scientist – Fraud Detection, Investigative Analytics

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

📋 Description

• Review, uphold, and enhance all current loan fraud indicators established by TSD, providing expert guidance on the selection of analytical methods.

• Design, develop, test, calibrate, and implement sophisticated statistical and machine learning models aimed at addressing financial fraud, improper payments, and non-compliance within SBA programs.

• Construct and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble techniques, while optimizing candidate models to find the best fit.

• Conduct data quality assessments on source tables to detect abnormalities and inconsistencies, and create repeatable processes for the integration and analysis of large relational, structured, and unstructured datasets.

• Work in collaboration with criminal investigators to formulate and execute analytical strategies that support loan fraud cases, adjusting analyses as case requirements evolve and proactively identifying data quality concerns.

• Strictly adhere to federal rules of criminal procedure pertaining to protected information, including Rule 6(e).

• Generate case leads for SBA OIG investigations based on model outcomes.

• Document all methodologies, test models, and production models in a manner that meets criminal evidentiary standards.

• Create visualizations and dashboards that effectively communicate methodological choices, results, and predictive capabilities, refining them based on user feedback.

• Present findings in various formats: data summaries and visualizations for investigative teams, executive summaries for OIG leadership.

• Collaborate with the data engineering team to ensure architecture is conducive to efficient machine learning operations.

• Develop programming and automation techniques that enhance task efficiency utilizing SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.

• Explore new business inquiries that broaden analysis and reporting scope.

⛳️ Requirements

• Master's, Ph.D., or doctoral equivalent degree in data science, machine learning, computer science, mathematics, or a related discipline. Alternatively, ten years of relevant applied experience in any of the aforementioned fields.

• Over 5 years of experience in designing, implementing, and maintaining advanced AI systems and predictive models, encompassing both supervised and unsupervised methodologies.

• More than 5 years of experience in developing analytical rules and models using cutting-edge analytic tools and best practices.

• At least 5 years of experience in creating regression, classification, and other statistical models to detect anomalies, patterns, and predictive variables.

• A minimum of 3 years providing data support for criminal investigations related to financial fraud or government fund misuse.

• At least 3 years of experience in manipulating data using Python, with proficiency in Pandas required.

• A minimum of 3 years working in a modern cloud environment: Azure, AWS, or GCP, with certifications preferred.

• Minimum of 2 years conducting advanced data analysis in SQL, particularly with SQL Server and PostgreSQL.

• At least 2 years of experience in developing and scaling natural language processing solutions.

• A minimum of 2 years presenting methods and findings to both technical and non-technical stakeholders, through oral presentations, written reports, and visualizations.

🏝️ Benefits

• Medical

• Dental

• Vision

• Basic Life

• Health Saving Account

• 401K matching

• Three weeks of PTO/Sick

• 11 Paid Holidays

• Pre-Approved Online Training