AI Resume Builder
JOIN NOW Post Job
Avance Consulting
AI

Data Scientist - ML, Python

Avance Consulting · McLean, VA

Actively hiring Posted 6 months ago

Data Scientist - ML, Python

McLean, VA (Onsite)

Job Description

10+years of experience required in Information Technology.

Python Programming: At least 5 years of hands-on experience with Python, particularly in

frameworks like FastAPI, Django, Flask, and experience using AI frameworks.

• 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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support