Data Science Lead

Peraton

$135K — $216K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in data science with potential supervisory experience
  • DOD 8140 compliance (DCWF code 423 intermediate level)
  • Proficiency in data analysis, machine learning, and statistical modeling
  • Experience with Python, R, or SQL programming languages
  • Familiarity with data visualization tools like Tableau, Power BI, or D3.js
  • Strong understanding of data engineering concepts (ETL processes & database management)
  • Active Top Secret/SCI clearance required

Responsibilities

  • Develop and implement data science solutions for ISR operations
  • Create and manage optimal data architectures and systems
  • Apply machine learning and predictive analytics to complex challenges
  • Design and maintain efficient data pipelines for structured and unstructured data
  • Identify and rectify data quality issues to ensure reliable outputs
  • Stay updated with the latest data science technologies and methodologies
  • Comply with security protocols and organizational policies

Benefits

  • Access to advanced data science and analytics technologies
  • Opportunity to influence critical ISR operations
  • Collaboration with experienced military and intelligence professionals
  • Continuous professional development in a mission-driven environment
  • Participation in projects that enhance national security
Full Job Description
Responsibilities

We are seeking a highly skilled and innovative Data Scientist Lead to join our team at Joint Base Langley-Eustis (JBLE), supporting the Air Combat Command (ACC). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to design how data will be stored, consumed, integrated and managed by different units and digital systems.

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:

  • Minimum of 12 years of experience, may have supervisory or management experience
  • DOD 8140 compliance based on DCWF code 423 intermediate level

  • 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.

Preferred Qualifications:

  • Experience supporting Air Combat Command (ACC) or similar ISR 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 Level: Minimum 10 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
  • Education: Masters degree from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelors 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 senior experience, for a total of 15 years, as a substitute to the masters degree

#AFACC

Target Salary Range$135,000 - $216,000. 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 individuals 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.

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