Senior Data Scientist

Egis

Senior Data Scientist providing advanced analytics and machine learning for fraud detection. Collaborating with investigators to transform complex data into actionable insights.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing predictive models and implementing NLP solutions for financial fraud detection, combined with strong analytical skills to transform complex datasets into actionable intelligence. Proven experience in collaborating with cross-functional teams to support advanced analytics and machine learning initiatives.

Highest-signal resume keywords

Predictive ModelingNLP Solutions DevelopmentPython and PandasCloud Platforms (Azure, AWS, GCP)SQL Development

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsMachine LearningStatistical ModelingFraud Detection MethodologiesData TransformationData AnalysisData DocumentationAI Systems DevelopmentAnalytic MethodologiesFinancial Fraud Investigation

Soft Skills

CollaborationCommunication

Certifications & Qualifications

Master's DegreePh.D.

Industry Keywords

Financial FraudGovernment OversightData ScienceComputer ScienceMathematics

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPandasPythonSQL

About the role

Key responsibilities & impact

Provide advanced analytics, machine learning, and investigative data support.
Work closely with criminal investigators, auditors, and technical stakeholders.
Develop and maintain predictive models and fraud detection methodologies.
Implement NLP solutions and analytical products for identifying financial fraud.
Transform complex datasets into actionable intelligence using statistical methods.
Analyze large datasets to identify fraud indicators.
Document methodologies, models, and analytical results in accordance with requirements.
Collaborate with Data Engineering to ensure system architecture supports analytics.

Requirements

What you’ll need

Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience.
Five or more years of experience developing advanced AI systems and predictive analytics models.
Five or more years of experience applying modern analytic methodologies and statistical modeling techniques.
Three or more years supporting financial fraud investigations or government oversight activities.
Three or more years working with Python and Pandas for advanced data analysis.
Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP.
Two or more years of advanced SQL development experience.
Two or more years developing and deploying NLP solutions.

Benefits

Comp & perks

Current clearance or ability to obtain a public trust clearance.