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Salary
$116k – $254k per year
Location
In office
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
CACI International delivers information technology and mission support to defence and intelligence agencies. Its work spans signals intelligence systems, electronic warfare, software modernisation and secure networks. The company employs tens of thousands of cleared professionals.
Job Title: Cloud Data Scientist- SOCEURJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: Regular-Long Term AssignmentPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * *

The Opportunity:

As a CACI Cloud Data Scientist will discover and develop mission-critical insights from complex and diverse datasets to support not just US but Allied and partner organizations. This role sits inside the Special Operations Command Europe (SOCEUR) Hybrid Threat Action Platform (HTAP) program team and is responsible for employing advanced statistical and machine learning methods to identify trends, build predictive models, and provide actionable insights using various data types. The individual will focus on developing and refining analytical models against real-world operational data within a multi-level security cloud environment (IL2-IL5). The individual will work closely with Data Engineers and AI/ML Engineers to operationalize validated methods and will interact regularly with data owners and mission stakeholders from Allied, partner, and US operations.

Responsibilities:

  • Analyze large, complex, and often unstructured datasets to identify trends, patterns, and actionable insights that address key mission requirements.
  • Design, prototype, and validate machine learning and statistical models to solve complex analytical problems in areas such as predictive analysis, pattern recognition, and anomaly detection.
  • Clean, transform, and pre-process heterogeneous data from multiple sources to ensure accuracy, completeness, and suitability for analysis.
  • Collaborate with the AI/ML Engineering team to transition validated models from a research/prototype phase to a deployable state, providing clear documentation and performance metrics.
  • Work with Data Stewards and Data Integrators to understand data lineage, quality issues, and releasability constraints for coalition and multi-national datasets.
  • Present highly technical findings and strategic recommendations to both technical and non-technical stakeholders, including senior leadership, in a clear and actionable manner.
  • Uphold and implement Responsible AI (RAI) principles, including performing bias detection and ensuring model explainability and fairness.

Qualifications:

Required:

  • Must be a US Citizen possessing an active TS/SCI security clearance.
  • Bachelor's degree in quantitative fields such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
  • DoD 8570.01-M / DoD 8140 IAT Level II (or higher) baseline certification (e.g., CompTIA Security+, CISSP).
  • 5+ years of professional experience in a data science or quantitative analysis role.
  • Advanced proficiency in Python and SQL for complex data manipulation, modeling, and analysis.
  • Deep expertise with core machine learning libraries and frameworks such as Scikit-learn, Pandas, NumPy, and either TensorFlow or PyTorch.
  • Proven experience developing and validating predictive models and using advanced statistical techniques on real-world datasets.
  • Demonstrated ability to work independently, conduct extensive investigations into undefined problems, and communicate complex findings to senior leadership.
  • TensorFlow Developer Certificate or equivalent demonstrated expertise in a major ML framework.

Desired:

  • Experience with big data technologies (e.g., Spark, Dask) and cloud-based data science platforms (e.g., GCP's Vertex AI Notebooks).
  • Familiarity with preparing and formatting data for BI and visualization tools such as Looker or Tableau.
  • Experience working in a multi-level security (MLS) or multi-national data environment.
  • Familiarity with MLOps principles and tools for model versioning and tracking (e.g., MLflow, DVC).

Candidate will qualify for:

  • Moving expenses to relocate household from CONUS to Stuttgart, Germany
  • Dependent Education
  • LQA - Living Quarters Allowance
-

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose - to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$115,600 - 254,200 USD

CACI is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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