Data Scientist - ML, Python
Location: McLean, Virginia
Job Type: Contract
Job Description
Python Programming: At least 5 years of hands-on experience with Python, particularly in frameworks like FastAPI, Django, Flask, and experience using AI frameworks. Good knowledge in Langchain
Access Control Expertise: Strong understanding of access control models such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).
API and Connector Development: Experience in developing API connectors using Python for extracting and managing access control data from platforms like Azure, SharePoint, Java, .NET, WordPress, etc.
AI and Machine Learning: Hands-on experience integrating AI into applications for automating tasks such as access control reviews and identifying anomalies
Cloud and Microsoft Technologies: Proficiency with Azure services, Microsoft Graph API, and experience integrating Python applications with Azure for access control reviews and reporting.
Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics.
Communication Skills: Ability to collaborate with various stakeholders, explain complex technical solutions, and deliver high-quality solutions on time.
PlainID: Experience or familiarity with PlainID platforms for identity and access management.
Azure OpenAI: Familiarity with Azure OpenAI technologies and their application in access control and security workflows.
Power BI: Experience with Microsoft Power BI for data visualization and reporting.
Agile Methodologies: Experience working in Agile environments and familiarity with Scrum methodologies for delivering security solutions. Should be strong in NUmpy, Panda, LLM, RAG