CV
Senior Data Scientist
Compu-Vision Consulting Inc.
🇺🇸 United States
Hybrid
Senior
2 months ago
- Machine Learning
- AI
- Python
- Pandas
- Azure
- AWS
- GCP
- SQL
- PostgreSQL
- Natural Language Processing
- OCR
- Large Language Models
- Excel
- Power BI
- Power Apps
2 months ago
Location: Washington, D.C. 20024
Duration: 1-year base period with four (4) one-year option periods and one (1) six-month extension
Required experience for each Data Scientist includes the following:
- Masters, 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 any of 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.
- Developing analytic rules and models using leading edge analytic tools and best practices.
- 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 financial fraud or abuse of government funds.
- Manipulating data in Python. (Pandas required.)
- Working in the modern cloud environment (Azure/AWS/GCP). Certifications preferred.
- Two (2) or more years of hands-on experience in each of the following:
- Conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
- Developing and scaling NLP solutions.
- Presenting methods and findings to technical and non-technical stakeholders, orally and in written products/visualizations.
SPECIFIC TASKS
Data Analytics Services
- Assist Technology Solutions Division (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 loan 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 loan fraud 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, test, calibrate, and implement advanced statistical and machine learning models targeted at identifying financial fraud, improper payments, or noncompliance within SBA programs.
- Utilize indicators of potential loan 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, Power Apps, and others.
- Identify new business questions to expand the scope of analysis and reporting.
Senior Data Scientist · Compu-Vision Consulting Inc.