Data Scientist

Castellum Inc
Latham, NY, United States
3 days ago
Apply on www.jofdav.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$47,000.0 - $127,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Application Integration Architecture Artificial Neural Networks Big Data Cloud Computing Data Architecture Data Integration Data Integrity Data Security R (Programming Language) Python (Programming Language) Machine Learning
+9 more
SQL Databases Data Ingestion Large Language Models Information Technology Data Analytics Data Management Marketplace Splunk Data Pipelines

Job description

Corvus Consulting, LLC is seeking a Data Scientist to support advanced data analytics, machine learning development, and data integration efforts within Army Vantage and other Department of Defense (DoD) platforms. This role is primarily remote; however, candidates must be able to support mission requirements and collaborate with stakeholders across distributed teams, including occasional engagement with Army or government personnel as needed.

The ideal candidate will play a critical role in designing, developing, and optimizing data-driven solutions that enhance operational decision-making. This position offers the opportunity to work on complex, mission-focused initiatives, leveraging cutting-edge technologies to deliver scalable, secure, and impactful data science capabilities in support of national defense objectives., * 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 (e.g., AESMP, Army 365, DISA, NetOps tools, Splunk, First Alert)
  • 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, Corvus Consulting, LLC. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Corvus Consulting, LLC, will not discriminate against employees and job applicants who inquire about, discuss or disclose compensation information. Reasonable accommodations that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Requirements

Required:

  • 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.
  • Strong communication skills and experience working in cross-functional environments.
  • 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, While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds.

About the company

The Vertex Companies LLC Chester, Pennsylvania $47,000.00 - $127,000.00 per year Other 1 minute ago Project Associate, Due Diligence The Vertex Companies LLC Columbia, Maryland $47,000.00 - $127,000.00 per year

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jofdav.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:06 min

Joining a new marketplace with a distributed engineering team

John Bettiol · World Congress 2022

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

1:37 min

Configuring strict marketplace taxonomy requirements via massive spreadsheet architectures

John Bettiol · World Congress 2022

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all