Data Scientist (SME)
Peraton
San Antonio, TX (In Person)
$145,500 Salary, Full-Time
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Job Description
Key Responsibilities:
Develop and implement data science solutions to support ISR operations and decision-making processes. Determine, create and populate optimal data architectures, structures, and systems. Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges. Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data. Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs. Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. Ensure compliance with all security protocols, classification guidelines, and organizational policies.Qualifications Required Qualifications:
Required Experience /Education:
16 years w/o a degree or 14 years with AS/AA or 12 years with BS/BA or 10 years with MS/MA or 8 years withPhd Technical Expertise:
Proficiency in data analysis, machine learning, and statistical modeling. Experience with programming languages such as Python, R, or SQL. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Strong understanding of data engineering concepts, including ETL processes and database management.Skills:
Exceptional analytical, critical thinking, and problem-solving skills. Strong written and verbal communication skills for producing reports and presenting findings. Ability to work collaboratively in a fast-paced, mission-driven environment.Security Clearance:
Active Top Secret/SCI clearance is required Polygraph may be requried.Preferred Qualifications:
Experience supporting 16 AF or similar ISR & Cyber organizations. Knowledge of ISR operations and intelligence data sources. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent.Experience:
Minimum 15 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years.Education:
Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have a bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related expert experience, for a total of 20 years, as a substitute to the master's degree. Why Join Us? Be part of a mission-critical team supporting the U.S. Air Force's ISR and data-driven operations. Work in a dynamic and collaborative environment at Lackland AFB, a hub for Air Force intelligence and innovation. Access to professional development opportunities and career growth within the data science and intelligence community. #AFACC Details Target Salary Range:
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.Benefits Statement:
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.Application Statements:
The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.EEO:
Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.group id:
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