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4 часа назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI): Designing, developing, and deploying scalable, AI-enabled data solutions for mission-critical defense environments with an accent on statistical modeling and secure, containerized deployment. Focus on building data pipelines, implementing machine learning models for decision support, and collaborating with cross-functional teams within high-security infrastructure.

Location: On-site at Colorado Springs, CO. U.S. Citizenship and active DoD Top Secret / SCI clearance required.

Company

hirify.global is a mission-focused organization providing adaptive technological solutions to support national security interests.

What you will do

  • Design and maintain reusable services for data ingestion, transformation, and feature engineering.
  • Develop and operationalize ML models for tasks like pattern recognition and decision support within secure environments.
  • Integrate data science services into production using Docker and CI/CD best practices.
  • Conduct exploratory data analysis to derive actionable insights for mission stakeholders.
  • Collaborate with engineers and product managers to ensure reproducible and audit-ready analytical workflows.

Requirements

  • U.S. Citizenship and active DoD Top Secret / SCI clearance required.
  • On-site work availability at Peterson Space Force Base, CO.
  • 4+ years of professional experience in applied data science or machine learning engineering.
  • Proficiency in Python, SQL, and distributed frameworks like Spark or PySpark.
  • Experience with ML development lifecycles, including training and deployment in cloud-native environments.
  • Strong technical communication skills for bridging gaps between technical and non-technical teams.

Nice to have

  • Familiarity with the Maven Smart System ecosystem.
  • Experience with MLOps tools such as MLflow or SageMaker.
  • Knowledge of cloud-based platforms like AWS, Azure, or Palantir Foundry.
  • Understanding of infrastructure-as-code tools like Terraform.

Culture & Benefits

  • Comprehensive benefits package including health, wellness, and financial support.
  • Collaborative environment guided by the company's 6H core values (Happy, Helpful, Honest, Humble, Hungry, Hustle).
  • Dedication to continuous improvement and supporting mission-critical national security goals.
  • Focus on team integrity, mutual respect, and high-impact work.

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