Senior Data Scientist
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 140,000–160,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, develop, and maintain advanced data science solutions within Army Vantage and related DoD platforms
- Build, deploy, and optimize machine learning models, including ensemble models, neural networks, and LLM-based solutions
- Develop and integrate APIs and automated data pipelines across Army and vendor systems
- Support data ingestion, transformation, and orchestration efforts in compliance with Army and DoD standards
- Design and optimize data architectures to support predictive analytics and visualization within Vantage environments
- Analyze complex datasets to generate actionable insights for mission stakeholders
- Collaborate with cross-functional teams, including military personnel and technical staff, to deliver data-driven solutions
- Ensure data integrity, security, and compliance with DoD and Army policies, including secure data exchange via CDS
- Communicate technical findings and recommendations clearly to both technical and non-technical audiences
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field
- 5–7 years of experience in data science, preferably supporting government or military programs
- Proficiency in Python, R, SQL, and modern data science frameworks
- Experience working within Palantir Foundry (Ontology, Data Marketplace) and Army Vantage environments
- Strong background in statistical analysis, machine learning, and predictive modeling
- Experience designing and integrating APIs within DoD or Army systems
- Familiarity with data architecture, infrastructure, and large-scale data pipeline development
- Understanding of DoD cloud environments (IL4, IL5, IL6) and secure data handling practices
- Active SECRET security clearance
Preferred
- Experience with Army-specific systems and data platforms
- Proven track record deploying machine learning models in operational environments
- Experience with LLM vectorization, customization, and advanced analytics techniques
- Certifications in data science, cloud computing, or related technical fields
- Familiarity with cybersecurity and compliance requirements in DoD environments
Skills
- Python
- R
- SQL
- Palantir Foundry
- Ontology
- Data Marketplace
- Army Vantage
- APIs
- AESMP
- Army 365
- DISA
- NetOps tools
- Splunk
- First Alert
- LLM
- Machine Learning
- Neural Networks
- Ensemble Models
- CDS
- IL4
- IL5
- IL6
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