Назад
Company hidden
7 часов назад

Data Scientist (AI)

130 000 - 155 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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): Designing, developing, and deploying scalable AI-enabled data solutions for the Department of Defense's CDAO ADA IR program with an accent on data pipelines, feature engineering, and ML services. Focus on integrating advanced analytics into mission-critical environments and transforming raw data into decision-support tools.

Location: Onsite in Washington, D.C. (Pentagon SCIF). Must have Top Secret / SCI clearance to start.

Salary: $130,000 - $155,000 a year

Company

A defense contractor focused on adaptive innovation and the integration of advanced technologies to support critical national security missions.

What you will do

  • Support the design, development, and operational deployment of scalable, AI-enabled data solutions.
  • Develop 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 Combatant Commands.

Requirements

  • Must have Top Secret / SCI clearance to start.
  • Location: Must work onsite in a SCIF in the Pentagon (Washington, D.C.).
  • 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.
  • Experience developing ML models from training to deployment using scikit-learn, TensorFlow, XGBoost, and MLflow.
  • Bachelor's degree with 3+ years of specialized experience, or equivalent professional experience.

Nice to have

  • 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.
  • Ability to explain complex technical concepts to non-technical audiences.

Culture & Benefits

  • Comprehensive Health and Life Insurance.
  • Paid Time Off and Holiday Pay.
  • Retirement plans and Learning and Development opportunities.
  • A values-driven culture based on the "6Hs": Happy, Helpful, Honest, Humble, Hungry, and Hustle.

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 →