Bangalore, Karnataka, India
Live, first seen by us 53 days agoDesign and implement data science models to optimize privileged access in Azure
Build and maintain dashboards that monitor and report on privileged access activity
Analyze large datasets for privileged access patterns, anomalies and risks
Configure, manage and optimize Azure PIM policies
Automate data processing and reporting with scripting and Azure-native tools
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
Analyze large datasets to identify patterns, anomalies, and risks related to privileged access
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
5 to 8 years of experience in data science
Microsoft Azure Privileged Identity Management (PIM)
Python or R for data analysis and automation
SQL and NoSQL database management
Azure Data Factory Azure Databricks
Experience with machine learning algorithms for security threat detection
Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline
Expertise in Azure Sentinel or other SIEM platforms
Knowledge of automation tools such as Terraform or Azure ARM templates
Desired Qualifications: - Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline - Microsoft Certified: Azure Security Engineer Associate
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Day 53
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Well past Brillio-2’s usual: its jobs come down by about day 25.
From 10,319 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
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- Power BI or similar data visualization tools - Python or R for data analysis and automation - SQL and NoSQL database management
- Python or R for data analysis and automation - SQL and NoSQL database management - Implementation of security and compliance controls in Azure
Job requirements 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: - Design and implement advanced data science models to optimize privileged access management within Microsoft Azure environments
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: - 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
- 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
- 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
- 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
- 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 Required Skills:
Required Skills: - Microsoft Azure Privileged Identity Management (PIM) - Microsoft Azure Active Directory administration
- Microsoft Azure Privileged Identity Management (PIM) - Microsoft Azure Active Directory administration - Azure Data Factory
- Microsoft Azure Active Directory administration - Azure Data Factory - Azure Databricks
- Azure Data Factory - Azure Databricks - Power BI or similar data visualization tools
- 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
- 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 Desired Qualifications:
- 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)
- Azure Databricks - Power BI or similar data visualization tools - Python or R for data analysis and automation
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Bangalore, Karnataka, India
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