Mantech

ManTech seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Doral, FL.

Responsibilities include but are not limited to:

• Develop and implement data strategies and frameworks
• Identify data requirements, establish comprehensive data governance policies, and ensure data quality and integrity across the organization
• Design and implement data collection, storage, and retrieval processes to optimize data management and accessibility and conduct complex data analysis and modeling to derive valuable insights and recommendations for program management and decision-making
• Use advanced statistical techniques, data mining, and machine learning algorithms to uncover patterns, trends, and correlations within the data
• Provide actionable insights that drive strategic initiatives and enhance overall program performance. Create advanced reports, dashboards, and visualizations to effectively communicate program performance, KPIs, and trends. Leverage data visualization tools, such as Tableau or Power BI, to present complex data in a clear and concise manner, enabling stakeholders to make informed decisions
• Contribute to the development and implementation of data-driven initiatives, stay up-to-date with the latest advancements in data analytics, emerging technologies, and industry best practices, and ensure the organization remains at the forefront of data management and analysis
• Provide technical expertise in data analytics. Provide direction and mentorship to subordinate staff

Minimum Qualifications:

• Bachelor’s degree in relevant field and a minimum of 9 years of relevant experience OR a Master’s degree and 7 years of experience OR PhD and 5 years of experience.
• High School diploma and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree
• Experience in data science, data analysis, or a related field, with a proven track record of successfully developing and implementing data-driven solutions.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques. Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL). Experience with data visualization tools (e.g., Tableau, Power BI) and knowledge of data warehousing and data lake concepts.
• Experience with Big Data technologies (e.g., Hadoop, Spark).
• Experience in developing and implementing data strategies and frameworks. Understanding of data governance principles and best practices. Ability to identify data requirements and ensure data quality and integrity. Experience with data collection, storage, and retrieval processes. Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets. Ability to identify patterns, trends, and correlations in data. Ability to translate data insights into actionable recommendations.
• DoD 8570.01-M IAT Level II certification.

Preferred Qualifications:

• PhD, Master’s degree OR Bachelor’s degree in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
• Experience supporting DoD programs and with cloud-based technologies, Risk Management Framework, and Zero Trust Architecture.
• Knowledge of data security and privacy regulations. Experience with data storytelling and presentation skills.
• Experience with advanced analytics techniques (e.g., deep learning, natural language processing). Specialized skills including cloud-based data platforms (e.g., AWS, Azure, GCP). Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP)).ITIL certification.
• 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 possess an interim Secret clearance with the ability to obtain a Secret clearance

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.