Data Science Specialist | Port Hueneme, CA (CSFE)

A LITTLE BIT ABOUT CARLEY: Headquartered in Orlando, Florida, Carley Corporation is an employee-owned small business specializing in analyzing, designing, developing, and implementing large-scale, complex blended training solutions where performance results are critical. We strive to deliver the highest quality and cost-effective solutions for all our DoD, Government, and Commercial customers. Carley provides products and services within the full spectrum of training system requirements, including new systems development as well as the maintenance of existing training systems. Our capabilities include training devices, electronic classrooms, SCORM-conformant self-paced training, instructor-led training, virtual simulations/virtual environments, and Virtual Reality-based training in support of technical and soft skills training. Carley Corporation is an ISO 9001:2015-certified business.

About the role

Carley is seeking a Data Science Specialist to support CSFE in Port Hueneme, CA. This contract-contingent role requires daily onsite support, the ability to obtain and maintain required security credentials, including a CAC, up to 10% travel, and the ability to lift up to 50 lbs. on limited occasions.

Responsibilities

• Analyze structured and unstructured data to support Navy and Department of Defense (DoD) operational, training, and business requirements
• Develop data models, dashboards, reports, and visualizations to support data-driven decision-making
• Perform statistical analysis, trend analysis, and predictive modeling using large datasets
• Support data collection, cleansing, transformation, validation, and management activities
• Develop and maintain automated reporting solutions and data visualization products using business intelligence tools
• Collaborate with stakeholders, analysts, developers, and government personnel to identify data requirements and reporting objectives
• Support the development and implementation of analytics strategies, methodologies, and best practices
• Interpret and communicate analytical findings and technical information to technical and non-technical audiences
• Support integration and analysis of data from multiple systems and databases
• Affirm operational trends, risks, gaps, and performance improvement opportunities
• Support continuous process improvement and data modernization initiatives
• Ensure data integrity, security, and compliance with customer and organizational requirements

Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field
• Minimum of five (5) years of experience supporting data analytics, business intelligence, data science, or statistical analysis activities
• Experience using data analysis and visualization tools such as Power BI, Tableau, Excel, SQL, Python, R, or related technologies
• Experience developing dashboards, reports, data visualizations, and analytical products
• Experience performing data cleansing, transformation, validation, and analysis activities
• Ability to analyze large datasets and communicate findings clearly and effectively
• Experience supporting data-driven decision-making and operational analysis initiatives
• Strong analytical, organizational, and problem-solving skills
• Strong written and verbal communication skills
• Ability to work independently and collaboratively in a deadline-driven environment

Qualifications

• Active Secret clearance, or have held an active Secret clearance within the last 24 months, with the ability to maintain the applicable security clearance and additional credentials, including a CAC, required to access a military installation and perform assigned duties
• Ability to lift items and/or equipment up to 50 lbs. on limited occasions

Preferred Qualifications

• Experience supporting Department of Defense (DoD) or Navy programs
• Experience supporting training, readiness, manpower, personnel, or operational analytics initiatives
• Experience working with enterprise data systems, relational databases, or cloud-based analytics environments
• Experience supporting predictive analytics, machine learning, or artificial intelligence initiatives
• Familiarity with Navy training systems, CETARS, FLTMPS, or related Navy data environments
• Experience supporting process improvement or data modernization initiatives