Cybersecurity Solutions Architect/Engineer
About The Position
The Fraud Analytics and Mitigation team is seeking two Cybersecurity Solutions Architect/Engineers. This role involves applying expert-level AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. The engineer will leverage Databricks to develop analytic solutions using Python, SQL, and R, creating, interpreting, visualizing, and reporting on complex data for stakeholders at all levels. Responsibilities include responding to ad hoc requests for investigations, working across business units to identify, collect, and analyze new data sources, and advancing the team's mission to reduce the time needed for analytical insights. The role also requires highlighting and analyzing gaps in USPS systems and processes, and recommending remediation solutions to deter cybersecurity threats and fraudulent activity.
Requirements
- Applicant must be an expert with data science and AI/ML concepts used for fraud detection.
- Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement – all developed over many years of client work delivering solutions.
- Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments.
- Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
- Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
- Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
- Expert level knowledge of AI/ML Solution Architecture.
- Expert level knowledge of Data Science and Advanced Analytics.
- Expert level knowledge of Technology Strategy and Implementation.
- Expert level knowledge of Data Strategy and Governance.
- Expert level knowledge of MLOps and Model Lifecycle Management.
- Expert level knowledge of Azure Databricks.
- Expert level knowledge of Python, SQL, R Development.
Responsibilities
- Applies expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization.
- Leverages Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels.
- Responds to ad hoc requests from stakeholders to investigate concerns.
- Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team’s mission and reduce the time needed to deliver analytical insights.
- Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
Benefits
- 401(k)
- 401(k) matching
- Competitive salary
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Vision insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
