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3 часа назад

Data Scientist (Federal)

136 000 - 183 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Federal) (Machine Learning): Designing and deploying machine learning algorithms, intelligent agents, and optimization solutions for federal enterprise AI applications with an accent on applied machine learning, mathematical modeling, and large-scale implementation. Focus on enabling federal customers to build applications on the C3 AI Suite, debugging complex ML codebases, and developing capabilities involving deep learning, NLP, computer vision, and large language models.

Location: Tysons, Virginia, United States. US citizenship and authorization to work in the United States without current or future company sponsorship are required. Willingness to obtain a security clearance is required.

Salary: $136,000–$183,000 USD per year.

Company

C3 AI develops enterprise AI application software, including the C3 Agentic AI Platform, industry-specific SaaS applications, and generative AI solutions.

What you will do

  • Research, design, implement, and deploy machine learning algorithms, intelligent agents, and optimization solutions for enterprise applications.
  • Use the C3 AI Suite to develop analytics capabilities for federal customers and support their application development.
  • Collaborate with data scientists, software engineers, subject matter experts, stakeholders, executives, and customers.
  • Contribute to the design and implementation of new C3 AI Suite features.
  • Debug and improve large machine learning codebases and drive projects independently or collaboratively.

Requirements

  • US citizenship and US work authorization without current or future company sponsorship.
  • Bachelor’s degree in computer science, electrical engineering, statistics, operations research, or an equivalent field.
  • Applied machine learning experience with regression, classification, supervised learning, and unsupervised learning.
  • Strong knowledge of statistics, linear algebra, calculus, probability, and optimization.
  • Ability to explain complex technical concepts clearly, present insights and strategies, and work independently and in a team.

Nice to have

  • MS or PhD in computer science, electrical engineering, statistics, operations research, or an equivalent field.
  • Active TS/SCI clearance with CI or full-scope polygraph.
  • Experience with deep learning, natural language processing, computer vision, large language models, RAG, or agentic systems.
  • Experience with constrained, stochastic, convex, or non-convex optimization.
  • Experience using modern IDEs and AI agent tools in accelerated development workflows.

Culture & Benefits

  • Work on AI-powered enterprise applications for large federal organizations.
  • Access to modern development tools, IDEs, and AI agents.
  • Competitive compensation package, excellent benefits, and a generous equity plan.
  • Equal opportunity and affirmative action employment practices.

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