Senior Data Scientist

Integres, LLC•Washington, DC

4d•Remote

About The Position

Integres, LLC is seeking a highly skilled and authoritative Senior Data Scientist to provide data analytic products for the Office of the Inspector General (OIG). This remote position involves assisting with data quality analysis, maintaining fraud indicators, developing repeatable processes for large data sources, and collaborating with criminal investigators. The role requires designing, developing, and implementing advanced statistical and machine learning models to identify fraud, improper payments, or non-compliance within SBA programs. Responsibilities include developing case leads, coordinating with the Data Engineering Team, integrating natural language processing methods, providing detailed documentation, creating visualizations and dashboards, and developing programming and automation techniques to improve task efficiency. The Senior Data Scientist will also identify new business questions to expand the scope of analysis and reporting.

Requirements

Master's, Ph. D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field; OR 10 years of applied work experience in the same fields.
Five (5) or more years of hands-on experience in each of the following: Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
Five (5) or more years of hands-on experience in each of the following: Developing analytic rules and models using leading-edge fraud analytic tools and best practices.
Five (5) or more years of hands-on experience in each of the following: Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
Three (3) or more years of hands-on experience in each of the following: Providing data support for criminal investigations into fraud or abuse.
Three (3) or more years of hands-on experience in each of the following: Manipulating data in Python. (Pandas required.)
Three (3) or more years of hands-on experience in each of the following: Working in the modern cloud environment (Azure/AWS/GCP).
Two (2) or more years of hands-on experience in each of the following: Conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
Two (2) or more years of hands-on experience in each of the following: Developing and scaling NLP solutions.
Two (2) or more years of hands-on experience in each of the following: Presenting methods and findings to technical and non-technical stakeholders, orally and in written products/visualizations.
US Citizen
Background investigation required for this position is at a sensitivity level of public trust.

Nice To Haves

Certifications preferred for working in the modern cloud environment (Azure/AWS/GCP).

Responsibilities

Assist TSD with data analytic products by providing highly skilled and authoritative expertise on analytic methods.
Perform data quality analysis on source tables to identify any abnormalities or inconsistencies.
Review, maintain, and provide support using all existing fraud indicators developed by TSD.
Develop and refine repeatable processes for efficiently combining and analyzing large data sources (including relational tables, structured and unstructured datasets).
Collaborate closely with criminal investigators to determine and execute strategies to support cases; proactively address and communicate potential data quality issues and adapt analysis to shifting case needs; adhere closely to federal rules of criminal procedure governing protected information (e.g., Rule 6(e)).
Design, develop, and implement advanced statistical and machine learning models targeted at identifying fraud, improper payments, or non-compliance within SBA programs.
Utilize indicators of potential fraud, improper payments, or non-compliance to develop and test predictive models.
Assist in developing case leads for SBA OIG investigations based on model outcomes.
Coordinate with the Data Engineering Team to ensure system architecture is designed to efficiently support machine learning models.
Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured or semi-structured text data, utilizing OCR, semantic similarity algorithms, and large language models as needed.
Provide detailed documentation of all methodology, test models, and production models; maintain records in compliance with criminal evidentiary requirements
Develop visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models; iteratively solicit and integrate end-user feedback
Provide outcomes and recommendations in multiple formats, including data summaries and visualizations for investigative staff, and executive summaries for SBA OIG leadership.
Create programming and automation techniques to improve task efficiency using tools such as SharePoint, Python, Microsoft Excel, Power BI, and others.
Identify new business questions to expand the scope of analysis and reporting.