Master's degree in Data Science, Computer Science, Engineering, Mathematics, or equivalent field
10+ years of experience in data science or advanced analytics
Proficient in Python and R for data analysis and automation
Strong background in data mining, statistics, and graph algorithms
Experienced with SQL and NoSQL databases, ETL pipelines, and API development
Strong mathematical and statistical foundation
Familiar with data visualization tools and techniques
Responsibilities
Develop and maintain advanced data science and analytics solutions
Design data analysis workflows using advanced modeling techniques
Build and manage ETL pipelines for diverse data sets
Integrate APIs and data services for analytics platforms
Perform software integration and conduct testing effectively
Utilize data analysis and automation scripting in Python and R
Create visualizations and dashboards for data insights
Benefits
Competitive salaries and comprehensive benefits
401k plan with employer contribution
Generous PTO policy and 11 paid holidays
Opportunities for career advancement
Strong emphasis on employee retention and focus
Support for hiring veterans through partnerships with military organizations
Full Job Description
Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.
Key Responsibilities
Develop, implement, and maintain advanced data science and analytics solutions
Design and execute data analysis workflows using statistical and mathematical modeling techniques
Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
Develop and integrate APIs and data services to support enterprise analytics platforms
Perform software integration and testing, including development and execution of test plans and scripts
Utilize Python, R, and other scripting languages for data analysis and automation
Apply data mining, graph algorithms, and statistical techniques to support mission objectives
Work with SQL and NoSQL databases, search indexes, and web application servers
Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
Create data visualizations and dashboards using spreadsheets and other tools
Collaborate with cross-functional teams to deliver scalable and secure analytics solutions
Required Qualifications
Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
Minimum 10 years of professional experience in data science or advanced analytics
Experience with software integration or testing, including analyzing and implementing test plans and scripts
Strong experience with scripting languages such as Python and R
Experience with data science, data mining, statistics, and graph algorithms
Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
Experience using tools and frameworks such as:
Python, Jupyter Notebook, Pandas, NumPy, Requests
Strong foundation in complex mathematical and statistical concepts
Experience applying statistical analysis and operations research methodologies
Proficiency in data manipulation and visualization using spreadsheets and related tools
Certifications (Preferred) One or more relevant industry certifications, such as:
Certified Information Systems Security Professional (CISSP)
Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.
