4 часа назад
Data Scientist (Federal)
136 000 - 183 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Federal) (Machine Learning/AI): Designing and deploying machine learning algorithms, intelligent agents, and optimization solutions for enterprise AI applications with an accent on applied machine learning, mathematical modeling, and large-scale systems. Focus on debugging and improving ML codebases, enabling federal customers to build applications, and developing capabilities involving deep learning, NLP, computer vision, and large language models.
Location: Tysons, Virginia, United States. The role requires US citizenship and authorization to work in the United States without current or future company sponsorship.
Salary: $136,000–$183,000 USD per year.
Company
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.
- Help federal customers build applications on the Suite.
- Define analytics capabilities that support customer decision-making and digital transformation.
- Collaborate with data scientists, software engineers, subject matter experts, stakeholders, executives, and customers.
- Contribute to new Suite features and improve large machine learning codebases.
Requirements
- US citizenship and willingness to obtain a security clearance.
- 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 foundations in statistics, linear algebra, calculus, probability, and optimization.
- Ability to explain complex technical concepts, present insights to stakeholders, and work independently and collaboratively.
- Authorization to work in the United States without current or future company sponsorship.
Nice to have
- MS or PhD in a relevant technical field.
- Active TS/SCI clearance with CI or full-scope polygraph.
- Experience with deep learning, natural language processing, computer vision, or large language models, including RAG and agentic systems.
- Knowledge of constrained, stochastic, convex, and non-convex optimization.
- Experience with modern IDEs and AI agent tools.
Culture & Benefits
- Modern development tools, IDEs, and AI agents support accelerated solution delivery.
- Competitive compensation package.
- Excellent benefits.
- Generous equity plan.
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