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Location: 100% Remote; Years’ Experience: 10+ years Professional Experience; Education: Bachelor’s Degree Required; Clearance: Applicants must be able to obtain and maintain a security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Job Responsibility:
Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC’s strategic goals and objectives
Problem Identification: Work with USMC 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 USMC 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
Requirements:
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
Must be able to obtain and maintain a Secret security clearance
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)
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
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