Senior Data Scientist

• Lead the development and implementation of innovative data strategies and frameworks, driving data-driven decision-making and organizational learning
• Provide expert guidance and mentorship to other Data Scientists and Analysts, fostering a culture of data literacy and collaboration across the organization
• Lead the design and implementation of complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting
• Conduct advanced data analysis and modeling, using cutting-edge statistical techniques, data mining, and machine learning algorithms to uncover hidden patterns, trends, and correlations within large data sets
• Develop predictive models, conduct simulations, and perform statistical analysis to provide actionable insights that drive strategic initiatives, optimize program performance, and support informed decision-making
• Create sophisticated reports, dashboards, and visualizations to effectively communicate complex data findings and insights to stakeholders at all levels of the organization
• Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field

• Four (4) years of relevant experience in data science, data analytics or in a related role.
• Bachelor’s degree in relevant field of study, Data Science, Data Analytics, Computer Science, Information Technology, etc.. A degree can be substituted for additional experience: High School Diploma and 4 years of additional experience or Associate’s Degree and 2 years of additional experience.
• A relevant Master’s degree is equivalent to 2 years of related experience. A relevant PhD is equivalent to 4 years of related experience.
• Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL), including experience with distributed computing frameworks (e.g., Hadoop, Spark).
• Experience with data visualization tools (e.g., Tableau, Power BI) and techniques, including the ability to create compelling data stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated data storage, processing, and analytics services.
• Demonstrated experience in developing and implementing data strategies and frameworks, aligning data initiatives with organizational goals and objectives. Strong understanding of data governance principles, best practices, and relevant data security and privacy regulations (e.g., GDPR, CCPA)., * Master’s degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
• Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
• Contributions to industry publications or presentations on data science topics, demonstrating thought leadership and a commitment to advancing the field. Active participation in professional data science communities and organizations.
• Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
• Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.

Clearance Requirements:

• Must have a current/active Secret security clearance.
• Must be able to obtain and maintain a Top Secret with SCI eligibility.

Physical Requirements:

• The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.