Senior Data Scientist

Wix

Senior Data Scientist providing analytical expertise for OIG fraud investigations. Developing advanced statistical and machine learning models to identify fraud and support case strategies.

Posted 7/2/2026full-timeRemote • District of Columbia, Washington • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPandasPostgresPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Developing analytic rules and models using leading-edge fraud 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 fraud or abuse.
Manipulating data in Python. (Pandas required.)
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).
Developing and scaling NLP solutions.
Presenting methods and findings to technical and non-technical stakeholders, orally and in written products/visualizations.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Predictive ModelingStatistical AnalysisFraud AnalyticsRegression ModelsClassification ModelsData ManipulationData VisualizationData EngineeringCloud Computing (Azure/AWS/GCP)Automation Techniques

Soft Skills

CollaborationCommunicationProblem-SolvingAdaptabilityStakeholder Engagement