Director Data Analyst Machine Learning Jobs in Columbia, SC

This role is being passively advertised to build a pool of qualified candidates for future openings as they become available.

At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. 

Credence has an upcoming need for a Data Scientist to support of the 9AF (AFCENT) Intelligence Directorate (9AF (AFCENT)/A2) Directorate mission in the United States Central Command (USCENTCOM) area of responsibility (AOR) and Shaw Air Force Base (AFB), SC 29152.

• Provide expert support as a member of an analytic team working to innovate data-based solutions for USCENTCOM directed efforts to counter adversary SSM capabilities, producing new tactics, methods, models to be leveraged across the intelligence community.
• Leverage all formal and informal analytic exchanges, as well as training opportunities, in order to understand data requirements and translate them into technical solutions. Build Data visualizations and reports on findings. Document data engineering processes, procedures, and standards for future reference. Communicate findings to stakeholders in a clear and concise manner
• Maintain specialized intelligence and operations community accesses pertinent to their functional area (Alternate Compensatory Control Measures (ACCM) and access to Special Access Programs (SAP) information), to enhance situational awareness and planning support. Assist in designing, developing, and maintaining data pipelines, ensuring smooth data flow from diverse sources into our data warehouse. Develop and deploy machine learning models. Develop and implement data-driven solutions to complex problems
• Generate actionable insights using predictive statistical models, segmentation analysis, threat profiling and data mining. Help optimize and tune data pipelines for performance and reliability.
• Stay up to date with emerging data engineering technologies and best practices to contribute innovative ideas and improvements. Work with a variety of stakeholders to gather and understand data requirement. Collaborate with data scientists and software engineers to implement efficient and scalable data processing solutions.
• Excellent written and oral communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to work both independently and as part of a team

Requirements

• Minimum Top Secret security clearance with Sensitive Compartmented Information (TS/SCI) eligibility.
• Bachelors in Statistics, Mathematics, Computer Science, Machine Learning, or any other related quantitative field with 10 years of experience.
• Three to five (3-5) years of hands-on experience in AI/ML development
• Proficiency in using Python and common AI/ML libraries and frameworks
• Experience with SQL and relational databases 
• Formal Intelligence Analysis training. Plus but not required
• Experience analyzing and briefing adversary surface-to-surface missile capabilities. 
• Experience with structured analytic techniques to develop new solutions for analytic gaps
• Working knowledge of US Air Force Collection, Targeting, and Planning Processes
• Working knowledge of USCENTCOM AOR, political/military threats, understanding of violent extremist organizations, terrorist organizations; working knowledge of intelligence analysis and TTPs. 
• Proficient in utilizing standard computer applications and intelligence related automation to support analytical efforts and product development 

Preferred: Experience working with structured data and data scientists to develop analytic solutions to complex intelligence problems

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development