Azure Data Architect

Location: 100% Remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment. 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.

Responsibilities

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

Requirements

Must reside in the continental United States; 10+ years of professional experience; Bachelor’s degree in computer science, Data Science, Statistics, or related field; Must be able to obtain and maintain a secret security clearance; United States Citizenship required; Active Secret security clearance; Active CompTIA Security+ Certification; Expertise in statistical modeling, machine learning algorithms, and data mining techniques; 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; 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; 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; Strong understanding of database technologies and SQL; Excellent communication, presentation, and leadership skills

Nice to have

Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus