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.