Назад
Company hidden
2 дня назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Scientist (AI/ML): Designing and deploying scalable AI-enabled data solutions and ML services for the Department of Defense with an accent on data pipelines, feature engineering, and secure deployment. Focus on integrating advanced analytics into mission-critical environments and transforming raw data into decision-support tools.

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Germany | Tampa, FL | Honolulu, HI | Colorado Springs, CO | Doral, FL | Omaha, NE | Scott AFB, IL. Must have Top Secret / SCI Clearance to start and must be able to work onsite in a SCIF.

Company

hirify.global provides adaptive innovation and advanced technology integration to support the nation's most important national security missions.

What you will do

  • Design, develop, and operationally deploy scalable, AI-enabled data solutions within the CDAO ADA IR program.
  • Shape and deploy data pipelines, pre-processing workflows, and feature engineering strategies.
  • Implement machine learning services within secure, containerized environments.
  • Collaborate with product managers, full-stack developers, and platform engineers to build decision-support tools.
  • Transform raw data into meaningful insights for mission stakeholders at Combatant Commands.

Requirements

  • Top Secret / SCI Clearance (Must have to start).
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.
  • Bachelor's degree with 3+ years of specialized experience (or equivalent experience/certification).
  • Ability to work onsite in a SCIF environment.

Nice to have

  • Experience with ML libraries like scikit-learn, TensorFlow, XGBoost, or MLflow.
  • Familiarity with MLOps, API development, and secure cloud environments (AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation.
  • Experience with data visualization tools such as Tableau, Plotly, or Matplotlib.

Culture & Benefits

  • Values-driven culture based on the "6Hs": Happy, Helpful, Honest, Humble, Hungry, and Hustle.
  • Collaborative environment that treats employees as family members.
  • Focus on professional growth through solving unprecedented national security challenges.
  • Strong emphasis on transparency, ethical conduct, and mutual respect.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →