The Role
Designs data science models and analytics for privileged access management in Microsoft Azure. Manages Azure PIM policies, analyzes access-risk datasets, develops dashboards, automates reporting, integrates security workflows, and troubleshoots privileged-access issues. Collaborates cross-functionally to improve Azure security, compliance, governance, and operational efficiency using Python or R, Azure data services, databases, and visualization tools.
Summary Generated by Built In
Senior Data Scientist
Job requirements
- Design and implement advanced data science models to optimize privileged access management within Microsoft Azure environments
- Develop and maintain analytics dashboards to monitor and report on privileged access activities, ensuring compliance and security standards
- Collaborate with cross-functional teams to integrate Azure PIM solutions with organizational data workflows
- Analyze large datasets to identify patterns, anomalies, and risks related to privileged access, providing actionable insights
- Configure, manage, and optimize Azure PIM policies to enhance security and operational efficiency
- Automate data processing and reporting tasks using scripting and Azure-native tools
- Troubleshoot and resolve issues related to privileged access management, ensuring minimal disruption and maximum security
- Stay updated on industry best practices and emerging technologies in privileged access management and Microsoft Azure
- Microsoft Azure Privileged Identity Management (PIM)
- Microsoft Azure Active Directory administration
- Azure Data Factory
- Azure Databricks
- Power BI or similar data visualization tools
- Python or R for data analysis and automation
- SQL and NoSQL database management
- Implementation of security and compliance controls in Azure
- Statistical modeling for access risk analysis
- Experience with machine learning algorithms for security threat detection
- Expertise in Azure Sentinel or other SIEM platforms
- Knowledge of automation tools such as Terraform or Azure ARM templates
- Familiarity with REST APIs and integration with external data sources
- Experience with cloud governance and policy management
- Certification in advanced Azure security solutions
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline
- Microsoft Certified: Azure Security Engineer Associate
- Certification in Privileged Access Management or cloud security (e.g., Certified Information Systems Security Professional - CISSP, or equivalent)
Experience Range: 5 to 8 years of experience in data science, including substantial hands-on work with Microsoft Azure Privileged Identity Management and privileged access management solutions Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
Additional Information: MDM Stibo Engineer
Skills Required
- 5 to 8 years of experience in data science
- Hands-on experience with Microsoft Azure Privileged Identity Management and privileged access management solutions
- Microsoft Azure Privileged Identity Management (PIM)
- Microsoft Azure Active Directory administration
- Azure Data Factory
- Azure Databricks
- Power BI or similar data visualization tools
- Python or R for data analysis and automation
- SQL and NoSQL database management
- Implementation of security and compliance controls in Azure
- Statistical modeling for access risk analysis
- Experience with machine learning algorithms for security threat detection
- Expertise in Azure Sentinel or other SIEM platforms
- Knowledge of Terraform or Azure ARM templates
- Familiarity with REST APIs and external data-source integrations
- Experience with cloud governance and policy management
- Certification in advanced Azure security solutions
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline
- Microsoft Certified: Azure Security Engineer Associate certification
- Certification in Privileged Access Management or cloud security, such as CISSP or equivalent
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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