Senior Data Scientist - CENTCOM

JMark Services, Inc.; Tampa (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled software developer with extensive experience in data analytics and intelligence support. This role involves designing and maintaining software solutions that drive business intelligence initiatives, developing data models, and ensuring efficient data processing. The ideal candidate will have a strong background in programming languages such as Python, R, and SQL, along with a solid understanding of database management. Join a dynamic team that values innovation and collaboration, and contribute to impactful projects that support critical intelligence operations. If you are passionate about data and technology, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in software and database development.
• Bachelor's degree in relevant fields required.

Responsibilities

• Design and maintain software solutions for data analytics.
• Develop data models and algorithms from complex datasets.

Skills

Data Analysis

Problem-Solving

Communication Skills

Education

Bachelor of Science in Analytics

Bachelor of Science in Statistics

Bachelor of Science in Computer Science

Bachelor of Science in Information Systems

Bachelor of Science in Engineering

Bachelor of Science in Mathematics

Tools

Python

R

SQL

Tableau

Power BI

SQL Server

MySQL

NoSQL

Job description

This position is part of a team providing the USCENTCOM J2 with consolidated intelligence analysis and support activities involving all-source intelligence analysis, reporting, intelligence operations and international intelligence engagements, exercises, ISR synchronization, and intelligence planning, along with IT support facilities management, training, and Special Security Office support. These activities at the J2 support USCENTCOM components, deployed forces, other DoD agencies, and Combatant Commands around the world.

Key Responsibilities:

• Design, develop, and maintain software solutions and databases that support data analytics and business intelligence initiatives.
• Build and implement data models and algorithms to extract actionable insights from large and complex datasets.
• Develop and maintain efficient data pipelines to ensure the processing, storage, and accessibility of data for analysis.
• Work closely with stakeholders to understand business requirements and translate them into data-driven software solutions.
• Leverage modern software tools and frameworks to develop scalable, maintainable, and high-performance data applications.
• Conduct data analysis to identify trends, patterns, and relationships that provide actionable business insights.
• Use programming languages and data science techniques (e.g., Python, R, SQL) to develop models, scripts, and tools for data processing and analysis.
• Collaborate with team members and cross-functional groups to integrate data solutions and improve overall business intelligence capabilities.
• Stay updated on emerging data science technologies and best practices, and continuously improve analytical and software development skills.

Required Qualifications:

• Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or related disciplines.
• Experience: At least ten (10) years of experience developing software and databases using modern software tools and frameworks.
• Clearance: Active Top Secret clearance required.

Preferred Qualifications:

• Proficiency in programming languages such as Python, R, and SQL for data analysis and software development.
• Experience with database management and data warehousing techniques (e.g., SQL Server, MySQL, NoSQL, etc.).
• Strong background in software engineering practices and familiarity with modern development frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) and experience in presenting data insights to stakeholders.
• Strong problem-solving skills, attention to detail, and the ability to work with large datasets.
• Ability to work independently and as part of a collaborative team.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical audiences.