Dein persönlicher KI-Karriere-Agent
Cloud Data Scientist - SOCEUR(m/w/x)
Discover mission-critical insights from complex datasets for US, Allied, and partner organizations. Advanced Python and SQL proficiency required. Moving expenses, dependent education, and unique flexible time off.
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Anforderungen
- US Citizenship and active TS/SCI clearance
- Bachelor's degree in quantitative fields
- DoD 8570.01-M / DoD 8140 IAT Level II+ certification
- 5+ years of data science/quantitative analysis experience
- Advanced Python and SQL proficiency
- Machine learning libraries expertise (Scikit-learn, Pandas, NumPy, TensorFlow/PyTorch)
- Developing and validating predictive models
- Independent work and complex problem-solving
- Communicating complex findings to senior leadership
- TensorFlow Developer Certificate or equivalent expertise
- Big data technologies experience (Spark, Dask)
- Cloud-based data science platforms experience (GCP Vertex AI)
- Preparing data for BI/visualization tools (Looker, Tableau)
- Experience in multi-level security/multi-national data environments
- Familiarity with MLOps principles and tools (MLflow, DVC)
Aufgaben
- Discover mission-critical insights from complex datasets
- Support US, Allied, and partner organizations
- Employ advanced statistical and machine learning methods
- Identify trends and build predictive models
- Provide actionable insights using various data types
- Develop and refine analytical models in a multi-level security cloud environment
- Collaborate with Data Engineers and AI/ML Engineers
- Operationalize validated methods
- Interact with data owners and mission stakeholders
- Analyze large, complex, and unstructured datasets
- Identify trends, patterns, and actionable insights
- Design, prototype, and validate machine learning models
- Solve complex analytical problems
- Clean and transform heterogeneous data
- Ensure data accuracy and completeness
- Transition validated models to deployable state
- Provide clear documentation and performance metrics
- Understand data lineage and quality issues
- Address releasability constraints for coalition datasets
- Present technical findings to stakeholders
- Communicate strategic recommendations clearly
- Uphold Responsible AI principles
- Perform bias detection
- Ensure model explainability and fairness
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Moving expenses
- Living Quarters Allowance
- Dependent education
- Family support
- Unique flexible time off
- Robust learning resources
- Continuing education
- Healthcare
- Wellness benefits
- Financial benefits
- Retirement benefits
- Time off benefits
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens CACI, INC.-FEDERAL erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei CACI, INC.-FEDERALÜber das Unternehmen
CACI places character and innovation at the center of its operations, supporting critical missions and ensuring national safety.
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