2 дня назад
Data Scientist (Agentic AI)
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Agentic AI) (Machine Learning/Generative AI): Building data science prototypes, agentic systems, and scalable production solutions that detect, analyze, and respond to real-time information events with an accent on machine learning, statistical reasoning, multilingual NLP, and network analysis. Focus on designing and evaluating agentic AI tools, developing experiments and sampling strategies, and translating complex customer needs into deployable software for national security missions.
Location: Arlington, Virginia, United States. Up to 10% travel. Clearance eligibility and willingness to obtain a clearance are required.
Salary: $100,000–$150,000 USD annually.
Company
develops innovative products and data-driven capabilities for complex information operations and national security challenges.
What you will do
- Translate customer needs into concrete data science and engineering problems.
- Experiment with and evaluate solutions, prototypes, and data science techniques.
- Design agentic systems, build tools for them, and assess their effectiveness.
- Collaborate with engineering teams to turn prototypes into scalable production software.
- Design experiments for data sampling and collection integrity, and perform ad-hoc analyses.
- Contribute to product roadmaps and strategic discussions about data science direction.
Requirements
- 3+ years of data science experience, or 1+ year with a PhD.
- Bachelor’s degree or higher in physics, computer science, mathematics, statistics, economics, engineering, or a related field.
- At least 2 years of intermediate-level or higher Python experience.
- Experience with agentic and generative AI, machine learning, model evaluation, statistical methods, and data analysis.
- Experience with version control and familiarity with Agile development and Jira.
- Mastery of English is required, along with strong communication skills for technical and non-technical stakeholders.
Nice to have
- Experience with LangChain, LangGraph, Model Context Protocol, or Agent2Agent Protocol.
- Experience with prompt engineering, LLM integration, or LLM training and fine-tuning.
- Higher academic degrees in a quantitative discipline.
Culture & Benefits
- Autonomous work on mission-focused data problems and innovative technologies.
- Collaboration with a distributed data science team embedded in cross-functional product teams.
- Peer mentoring, internal research and development, and opportunities to expand technical skills.
- Medical, dental, vision, life, and disability insurance.
- Retirement benefits, paid leave, tuition assistance, and professional development support.
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