Azure Data Architect

• Data Science Strategy: Develop and implement a data science strategy for the project, aligning with strategic goals and objectives.
• Problem Identification: Work with stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
• Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
• Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
• Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
• Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
• Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
• Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
• Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
• Compliance: Ensure that all data science activities comply with relevant and DoD regulations and security policies.
• Research & Development: Stay up to date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
• Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Years’ Experience: 10+ Years of professional experience.

Education: Bachelor’s degree in computer science, Data Science, Statistics, or related field.

Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.

Certifications:

• Active CompTIA Security+ Certification

Key Skills:

• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Must have strong expertise in the Azure Cloud environment
• Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling, * 10+ years of experience in data science, machine learning, and statistical modeling.
• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
• Active Secret security clearance
• Active CompTIA Security+ certification
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
• Proficiency in programming languages such as Python, R, SQL, PySpark
• Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
• Experience with data visualization tools (e.g., Power BI).
• Hands on experience with Microsoft Dataverse for data storage and management.
• Strong experience with data extraction, cleaning, and transformation (ETL) processes.
• Experience in data governance, metadata management, and data cataloging.
• Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
• Strong understanding of database technologies and SQL.
• Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
• Excellent communication, presentation, and leadership skills.