Data Scientist - $60.10 - $67.31 per hour

This role is for a senior-level Data Scientist with specialized experience supporting criminal investigations involving financial fraud or misuse of government funds. The position focuses on designing, implementing, and maintaining fraud identification methods, developing advanced analytical models, improving data quality, and communicating technical findings to relevant stakeholders., * Design, implement, and maintain fraud identification methods and communicate analytical results to relevant stakeholders.

• Clean and prepare data to ensure validity, completeness, and consistency.
• Develop repeatable methods for efficiently analyzing large datasets.
• Work closely with criminal investigators to determine appropriate analytical strategies for financial fraud and abuse investigations.
• Design, implement, and maintain advanced AI systems and predictive models, including supervised and unsupervised models.
• Develop analytical rules and models using leading-edge analytical tools and best practices.
• Develop regression, classification, Bayesian, clustering, ensemble, and other statistical models to identify anomalies, patterns, and predictive variables.
• Implement and tune test models to determine the best fit for specific analytical needs.
• Manipulate and analyze data using Python and Pandas.
• Conduct advanced data analysis using SQL, including SQL Server and PostgreSQL.
• Work with modern cloud environments, including Azure, AWS, or Google Cloud Platform.
• Develop and scale natural language processing solutions.
• Present analytical methods and findings to technical and non-technical stakeholders through verbal presentations, written materials, and visualizations.

The role requires hands-on experience with predictive modeling, artificial intelligence, statistical analysis, natural language processing, cloud platforms, Python, SQL, and large-scale data analysis., * Five or more years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models, including supervised and unsupervised models.

• Five or more years of hands-on experience developing analytical rules and models using advanced analytical tools and established best practices.
• Five or more years of hands-on experience developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
• Three or more years of hands-on experience providing data support for criminal investigations involving financial fraud or misuse of government funds.
• Three or more years of hands-on experience manipulating data in Python.
• Hands-on experience with Pandas is required.
• Three or more years of hands-on experience working in a modern cloud environment such as Azure, AWS, or Google Cloud Platform.
• Cloud certifications are preferred.
• Two or more years of hands-on experience conducting advanced data analysis using SQL.
• Experience with SQL Server and PostgreSQL.
• Two or more years of hands-on experience developing and scaling natural language processing solutions.
• Two or more years of hands-on experience presenting analytical methods and findings to technical and non-technical stakeholders through verbal presentations, written materials, and visualizations.
• Master’s degree, Ph.D., or doctorate-level equivalent degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
• In place of the advanced degree requirement, 10 years of applied professional experience in one of the same fields is acceptable.
• U.S. Citizenship is required.
• Ability to obtain and maintain a Public Trust determination., * AWS Machine Learning Certification
• Google Professional Machine Learning Engineer
• Comparable cloud-based AI or machine learning certifications