Data Scientist

MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Doral, FL.
Responsibilities Include But Are Not Limited To

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
Minimum Qualifications

Bachelor’s degree in relevant field and 4 years of overall experience OR a master’s degree and 2 years of experience or a PhD.
High School Diploma and 4 years of additional experience may be exchanged in lieu of a required bachelor’s degree
Associate’s degree and 2 years of additional experience may be exchanged in lieu of a required bachelor’s degree
Understanding of statistical modeling, machine learning algorithms, and data mining techniques, including deep learning and natural language processing.
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).
Proven ability to identify data requirements, ensure data quality and integrity, and implement comprehensive data collection, storage, and retrieval processes. Exceptional analytical and problem-solving skills, with the ability to extract insights from complex data sets and translate them into actionable recommendations for decision-making. Excellent communication and collaboration skills, with the ability to effectively communicate data insights and recommendations to both technical and non-technical audiences. Experience supporting DoD programs and familiarity with DoD data security and privacy regulations. Preferred Qualifications

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 an active Secret clearance and 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.