Data Scientist- AFCENT

Credence; South Carolina; Presencial; USD 120.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Care Plan (Medical, Dental &amp

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Short & Long Term Disability

Training & Development

Descripción de la vacante

Credence in the United States is seeking a Data Scientist to support USCENTCOM A2 Directorate at Shaw AFB, SC. You will join analytic teams delivering data-driven solutions, ML models, and actionable insights for defense missions, with TS/SCI eligibility.

You will build data pipelines, create visualizations, document processes, and communicate findings to stakeholders. Strong Python and ML library experience, SQL, and collaboration skills are essential in a fast-paced defense environment.

Formación

• Bachelor's degree required in a quantitative field with 3–5 years hands-on AI/ML experience.
• Proficiency in Python and common AI/ML libraries and frameworks.
• Experience with SQL and relational databases.
• Ability to translate data requirements into technical solutions and communicate findings.

Responsabilidades

• Provide expert support as a member of an analytic team developing data-based solutions for USCENTCOM efforts.
• Build data pipelines, visualizations, and reports; document data engineering processes for future reference.
• Develop and deploy machine learning models and data-driven solutions for complex problems.
• Generate actionable insights using predictive models, segmentation, and data mining; optimize pipelines for performance.
• Stay updated on data engineering technologies and collaborate with stakeholders to gather requirements.
• Communicate technical concepts clearly to non-technical stakeholders; work independently and in a team.
• Maintain required security access and work within applicable compliance standards.

Conocimientos

Python

AI/ML libraries

Data visualization

SQL

Data engineering

Communication

Team collaboration

TS/SCI eligibility

Educación

Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, or related quantitative field

Descripción del empleo

Overview

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 practiceservant 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.

Responsibilities include, but are not limited to the duties listed below:

• 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




• 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

• 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