Job Requirements
Arlington, VA
Public Trust Polygraph Unspecified
Career Level not specified
$115,000 - $135,000
Job Description
Zachary Piper Solutions is seeking a Data Scientist to join a federal technology and services firm supporting civilian agencies across secure IT, cyber, and mission-critical programs. This a a Remote role, however the ideal candidate must able to attend customer meetings in Rosslyn, VA, as needed. This role focuses on designing and delivering practical Machine Learning (ML) solutions that address operational challenges in secure environments. The Data Scientist will work within an Agile delivery tea, to build working prototypes, integrate automation tools and Application Programming Interfaces (APIs), and translate business needs into deployable technical solutions.
Responsibilities of the Data Scientist:
Qualifications for the Data Scientist:
Compensation for the Data Scientist:
This job opens for applications on 03/26. Applications for this job will be accepted for at least 30 days from the posting date.
#LI-MS1
#LI-Remote
Keywords: Machine Learning, Artificial Intelligence, Data Science, applied AI, ML solutions, AI/ML development, predictive modeling, Natural Language Processing, NLP, Large Language Models, LLMs, data pipelines, data ingestion, data processing, data transformation, data cleaning, data wrangling, data modeling, model deployment, model development, model lifecycle management, MLOps, Python, Python development, REST APIs, API integration, API development, data integration, system integration, automation, workflow automation, Microsoft Power Automate, business process automation, document processing, decision-support analytics, analytics solutions, operational analytics, prototype development, rapid prototyping, scalable solutions, production deployment, Agile, Agile delivery, iterative development, technical design, solution architecture, business requirements translation, stakeholder collaboration, cross-functional teams, technical documentation, data architecture, data engineering, cloud computing, Microsoft Azure, Azure AI, Azure Machine Learning, AWS, AWS GovCloud, Azure Government, secure environments, government systems, federal programs, regulated environments, healthcare systems, data security, compliance, Public Trust clearance, U.S. Citizenship, communication skills, technical communication, mission-focused solutions, legacy systems integration, modern data platforms
Responsibilities of the Data Scientist:
- Design, develop, and deploy AI/ML pilot solutions aligned to operational government use cases such as workflow automation, document processing, and decision-support analytics
- Develop Python-based solutions for data ingestion, processing, modeling, and deployment, including integration across systems using APIs
- Build automation workflows using Microsoft Power Automate and similar tools to support data movement and process improvement
- Integrate APIs and data services to enable end-to-end analytical pipelines across legacy and modern platforms
- Prepare and structure operational datasets, including cleaning, organizing, and transforming inconsistent data for analysis and modeling
- Translate business and operational requirements into technical designs, models, and working prototypes
- Collaborate with technical teams, program leadership, and stakeholders to ensure solutions align with mission needs
- Support the transition of successful pilot efforts into scalable, production-ready implementations
- Document technical approaches, data flows, and model behavior to support sustainment and knowledge transfer
Qualifications for the Data Scientist:
- Bachelor's degree in Computer Science, MIS, Engineering, Mathematics, or related field, with 3-6 years of experience in data science, applied AI, or software-driven analytics roles
- Strong Python development skills, including building data pipelines, machine learning models, and API integrations; experience working with REST APIs and integrating multiple data sources
- Hands-on experience developing and deploying AI/ML solutions, including predictive models, NLP systems, and Large Language Model (LLM) applications
- Experience with Microsoft Power Automate or similar workflow automation tools
- Ability to translate operational problems into structured analytical and technical solutions, with strong communication skills to convey concepts to non-technical stakeholders
- U.S. Citizenship required and ability to attend customer meetings in Rosslyn, VA as needed
- Must already have or be eligible to obtain a DHA Public Trust clearance
- Desired Skills:
- Experience supporting government clients, healthcare environments, or regulated systems preferred
- Experience with Microsoft Azure, particularly Azure Artificial Intelligence and Machine Learning services
- Familiarity with secure government cloud environments such as Amazon Web Services (AWS) GovCloud or Azure Government
- Working knowledge of Machine Learning Operations (MLOps), model deployment, and lifecycle management practices
- Experience working in Agile delivery environments focused on rapid prototyping and iterative implementation
Compensation for the Data Scientist:
- Salary Range: $115,000 - $135,000 *depending on experience*
- Comprehensive Benefits: Cigna Medical, Dental, Vision, 401k Plan, PTO, Holidays, Sick Leave if required by law
This job opens for applications on 03/26. Applications for this job will be accepted for at least 30 days from the posting date.
#LI-MS1
#LI-Remote
Keywords: Machine Learning, Artificial Intelligence, Data Science, applied AI, ML solutions, AI/ML development, predictive modeling, Natural Language Processing, NLP, Large Language Models, LLMs, data pipelines, data ingestion, data processing, data transformation, data cleaning, data wrangling, data modeling, model deployment, model development, model lifecycle management, MLOps, Python, Python development, REST APIs, API integration, API development, data integration, system integration, automation, workflow automation, Microsoft Power Automate, business process automation, document processing, decision-support analytics, analytics solutions, operational analytics, prototype development, rapid prototyping, scalable solutions, production deployment, Agile, Agile delivery, iterative development, technical design, solution architecture, business requirements translation, stakeholder collaboration, cross-functional teams, technical documentation, data architecture, data engineering, cloud computing, Microsoft Azure, Azure AI, Azure Machine Learning, AWS, AWS GovCloud, Azure Government, secure environments, government systems, federal programs, regulated environments, healthcare systems, data security, compliance, Public Trust clearance, U.S. Citizenship, communication skills, technical communication, mission-focused solutions, legacy systems integration, modern data platforms
group id: 10430981