Data Scientist

ManTech; Miami (FL); On-site; USD 150,000 - 250,000; Full time

Job summary

ManTech is seeking a Senior Data Scientist to lead innovative data strategies and analysis in Doral, FL. Candidates should have a strong background in statistical modeling, machine learning, and advanced data visualization tools. This mid-senior level position offers the opportunity to mentor junior staff and shape organizational data use, with a competitive salary range reflecting the expertise required.

Qualifications

• Minimum of 10 years of experience with a Master's degree or equivalent.
• Expert-level understanding of statistical modeling and machine learning.
• Experience in creating compelling data stories and presentations.

Responsibilities

• Lead development and implementation of data strategies and frameworks.
• Conduct advanced data analysis using statistical techniques and machine learning.
• Create reports and visualizations to communicate data findings.

Skills

Statistical modeling

Machine learning algorithms

Data mining techniques

Data visualization

Analytical problem-solving

Education

Bachelor’s degree in relevant field

Master’s degree or PhD in Data Science or related field

Tools

Python

SQL

Tableau

Power BI

Hadoop

Job description

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ManTech seeks a motivated, career and customer-oriented Data Scientist, Senior 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 12 years of experience OR a Master’s degree and 10 years of experience or a PhD and 8 years of experience
• HS 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
• Expert-level understanding of statistical modeling, machine learning algorithms, and data mining techniques, including deep learning and natural language processing.
• Advanced 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).
• Extensive 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 expertise 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.
• DoD 8570.01-M IAT Level II certification or higher.
  
  

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 possess a current and active Top Secret clearance 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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