Sr. Data Scientist

Title - Sr. Sr. Data Scientist
Client - World Bank
Location - Washington, DC
Job Summary
The Senior Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and creating visualizations using Power BI. The role will involve collaborating with cross functional teams to identify opportunities for leveraging company data to drive business solutions. (1.) Key Responsibilities
1. Analyze and interpret large and complex data sets to discover insights and identify trends.
2. Develop and implement custom machine learning models and algorithms to support business objectives.
3. Create interactive and insightful visualizations using power bi to present data driven insights to stakeholders.
4. Collaborate with business stakeholders to understand their goals and translate them into technical requirements.
5. Work closely with data engineers to ensure data quality and accuracy for analysis.
6. Stay updated on industry trends and advancements in data science to continuously improve data methodologies.

JD:

Skill Matrix (Must have): Python Scripting (Backend), Numpy, Panda with Azure AI

SKILLS / EXPERIENCE REQUIRED
Please find below the criteria for the expected resource:
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.
DevOps and CI/CD: Strong familiarity with DevOps tools such as Azure DevOps and experience
with continuous integration/continuous deployment (CI/CD) practices. Experience with
PowerShell and Bash scripting for automation.
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.