3 дня назад
Senior Data Scientist (AI)
140 000 - 187 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI/LLM): Building scalable data-centric solutions, large-scale analytics workflows, and LLM-powered knowledge management tools with an accent on big data processing, graph technologies, machine learning, and generative AI. Focus on designing production-ready analytical capabilities, integrating LLMs into internal workflows, and transforming complex data into actionable intelligence for national security missions.
Location: Full-time onsite in Reston, Virginia; U.S. citizenship and an active U.S. Government TS/SCI security clearance with CI polygraph are required.
Salary: $140,000–$187,000–$205,700 annually for the Washington, DC metropolitan area.
Company
develops spatial intelligence solutions that help decision-makers and operators understand current events and plan for future situations.
What you will do
- Automate and optimize data extraction, cleaning, processing, and analysis through scripting and ETL pipelines.
- Process structured and unstructured large-scale datasets with big data frameworks such as Spark, Hadoop, and cloud-native tools.
- Lead full-cycle data science and engineering workflows, from hypothesis generation through actionable insights and reporting.
- Design, fine-tune, and integrate LLM-driven tools for summarization, tagging, retrieval, knowledge capture, and internal decision support.
- Explore graph technologies, machine learning, generative AI, and LLMs to create mission-focused analytical capabilities.
- Partner with engineering teams to productionize models, communicate findings, and mentor junior data scientists.
Requirements
- Current TS/SCI clearance and willingness and ability to obtain a CI polygraph.
- U.S. citizenship is required; certain work may also be subject to U.S. export control and ITAR requirements.
- At least 10 years of experience in data science, analytics, or a related technical field.
- Master’s degree in data science, computer science, engineering, statistics, GIS, or a related discipline, or two additional years of experience instead.
- Proficiency in Python, SQL, data analysis, machine learning, automation, and full-cycle data projects.
- Experience with LLM/NLP concepts, pre-trained models, graph databases or graph-based applications, and clear communication of technical findings.
Nice to have
- Advanced statistics, NLP, unsupervised learning, LLM fine-tuning, RAG, or AI agent experience.
- Cloud platforms, scalable data processing, MLOps, big data technologies, Docker, and Kubernetes.
- Knowledge of graph data modeling, graph algorithms, and query languages such as Cypher, Gremlin, or SPARQL.
- Experience with data visualization tools including Power BI, Tableau, or Looker.
Culture & Benefits
- Mission-driven work supporting specialized national security objectives and government stakeholders.
- Competitive total rewards package with a 401(k) company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Autonomous work environment focused on problem-solving, measurable customer impact, and collaboration.
Hiring process
- Submit an application through ’s careers page.
- The application window is three days from posting and remains open until a qualified candidate is identified.
- Clearance status is verified as a condition of employment.
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