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Senior Data Scientist

Remote • Posted 8 hours ago • Updated 8 hours ago

Full Time

Remote

Fitment

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Job Details

Skills

Advanced Analytics
Payments
Data Visualization
Management
Regression Analysis
Clustering
Ensemble
Data Quality
Data Integrity
Collaboration
Auditing
Optical Character Recognition
Semantics
Algorithms
Large Language Models (LLMs)
Workflow
Dashboard
Testing
Data Engineering
Systems Architecture
Microsoft Power BI
Microsoft SharePoint
Microsoft Excel
Security Clearance
Data Science
Machine Learning (ML)
Computer Science
Mathematics
Artificial Intelligence
Predictive Analytics
Analytical Skill
Statistical Models
Finance
Fraud
Python
Pandas
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
SQL
Natural Language Processing

Advanced Analytics
Payments
Data Visualization
Management
Regression Analysis
Clustering
Ensemble
Data Quality
Data Integrity
Collaboration
Auditing
Optical Character Recognition
Semantics
Algorithms
Large Language Models (LLMs)
Workflow
Dashboard
Testing
Data Engineering
Systems Architecture
Microsoft Power BI
Microsoft SharePoint
Microsoft Excel
Security Clearance
Data Science
Machine Learning (ML)
Computer Science
Mathematics
Artificial Intelligence
Predictive Analytics
Analytical Skill
Statistical Models
Finance
Fraud
Python
Pandas
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
SQL
Natural Language Processing

Summary

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this position develops and maintains predictive models, fraud detection methodologies, natural language processing (NLP) solutions, and analytical products designed to identify financial fraud, improper payments, and program noncompliance. The Senior Data Scientist transforms complex datasets into actionable intelligence by applying statistical, machine learning, and data visualization techniques.

Design, develop, test, calibrate, and deploy advanced machine learning and predictive analytics models.
Develop and maintain supervised and unsupervised fraud detection methodologies using regression, classification, clustering, Bayesian, and ensemble techniques.
Conduct data quality assessments to identify anomalies, inconsistencies, and data integrity issues.
Analyze large structured, semi-structured, and unstructured datasets to identify fraud indicators and investigative leads.
Collaborate with criminal investigators to support financial fraud investigations and audits.
Integrate NLP, OCR, semantic similarity algorithms, and large language models into analytical workflows.
Develop visualizations, dashboards, executive summaries, and analytical reports for technical and non-technical audiences.
Document methodologies, models, testing procedures, and analytical results in accordance with evidentiary and federal requirements.
Coordinate with Data Engineering personnel to ensure system architecture efficiently supports analytical and machine learning requirements.
Create automated analytical solutions using Python, Power BI, SharePoint, Excel, Power Apps, and related technologies.

Requirements

Current clearance or ability to obtain a public trust clearance.
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 Google Cloud Platform.
Two or more years of advanced SQL development experience.
Two or more years developing and deploying NLP solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX188ac3
Position Id: b502a6ea63465ce56586f4a8e228b1a6
Posted 8 hours ago

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