Senior Data Scientist, NLP, Unstructured Data Analytics

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

📋 Description

• Integrate and enhance natural language processing techniques to parse, cleanse, and analyze extensive collections of unstructured and semi-structured text, utilizing optical character recognition, semantic similarity algorithms, and large language models as required.

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

• Construct and optimize supervised and unsupervised models, incorporating regression, Bayesian, clustering, and ensemble methods.

• Review, maintain, and provide support for all existing loan fraud indicators created by TSD.

• Conduct data quality assessments on source tables and establish repeatable processes for merging and analyzing substantial data sets.

• Collaborate directly with criminal investigators to formulate and execute analytical strategies that support loan fraud cases, ensuring adherence to federal rules of criminal procedure regarding protected information, including Rule 6(e).

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

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

• Create visualizations and dashboards that illustrate methodological choices, results, and predictive capabilities, iterated based on user feedback.

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

• Coordinate with the data engineering team to ensure that the architecture efficiently supports machine learning and text processing pipelines.

• Develop programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.

• Identify new business inquiries that broaden the scope of analysis and reporting.

⛳️ Requirements

• Master's, Ph.D., or equivalent doctorate-level degree in data science, machine learning, computer science, mathematics, or a related discipline. Alternatively, a decade of applied experience in any of the aforementioned fields.

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

• More than 5 years developing analytic rules and models utilizing cutting-edge analytic tools and best practices.

• At least 5 years of experience in developing 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 misuse of government funds.

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

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

• Over 2 years conducting advanced data analysis using SQL, specifically SQL Server and PostgreSQL.

• Over 2 years developing and scaling natural language processing solutions.

• At least 2 years presenting methods and findings to both technical and non-technical stakeholders, through oral communication and written products and visualizations.

• Experience in production environments with named entity recognition and entity resolution across complex document collections.

• Familiarity with retrieval-augmented generation, vector stores, embeddings, and large-scale semantic search.

• Experience integrating large language models under federal security constraints, including controlled deployment and prompt versioning.

• Knowledge of optical character recognition pipelines applied to scanned or low-quality source documents.

• Experience with topic modeling, document classification, or clustering in the context of audit, legal, or investigative text.

• Certification in Azure, AWS, or GCP is preferred.

🏝️ Benefits

• Medical

• Dental

• Vision

• Basic Life

• Health Savings Account

• 401K matching

• Three weeks of PTO/Sick leave

• 11 Paid Holidays

• Pre-Approved Online Training