Note: The job is a remote job and is open to candidates in USA. Integres, LLC is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on providing high quality information technology solutions. They are seeking a Senior Data Scientist to assist with data analytic products, perform data quality analysis, and develop advanced statistical models to identify fraud and support investigations.

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

Skills

• 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 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 developing analytic rules and models using leading-edge fraud analytic tools and best practices
• Five (5) or more years of hands-on experience in developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables
• Three (3) or more years of hands-on experience in providing data support for criminal investigations into fraud or abuse
• Three (3) or more years of hands-on experience in manipulating data in Python. (Pandas required.)
• Three (3) or more years of hands-on experience in working in the modern cloud environment (Azure/AWS/GCP)
• Two (2) or more years of hands-on experience in conducting advanced data analysis in SQL (SQL Server and PostgreSQL)
• Two (2) or more years of hands-on experience in developing and scaling NLP solutions
• Two (2) or more years of hands-on experience in presenting methods and findings to technical and non-technical stakeholders, orally and in written products/visualizations
• Certifications in modern cloud environment (Azure/AWS/GCP)

Benefits

• Healthcare and Insurance: medical, dental, vision, short- and long-term disability protection, basic life and AD&D insurance
• 401(k) Savings Plan
• Accrued Paid Time Off (PTO)
• Employee Recognition and Rewards
• Employee Referral Bonuses

Company Overview