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6 часов назад

Senior Data Scientist (AI)

Формат работы
remote (только USA)/hybrid
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
Senior Data Scientist (AI): Developing and deploying analytics, machine learning, NLP, and generative AI solutions for a defense health mission-critical program with an accent on predictive modeling, RAG systems, and production AI reliability. Focus on building LLM applications with embeddings and vector databases, integrating APIs and cloud services, and delivering actionable insights for technical and non-technical stakeholders.

Location: Remote, with hybrid opportunities in Falls Church, Virginia; periodic travel as required. Must be a U.S. Citizen and able to obtain and maintain a SECRET security clearance.

Company

hirify.global is a public-sector consulting and information technology solutions provider supporting health, civilian, and national security missions.

What you will do

  • Develop and deploy analytics, machine learning, NLP, and AI solutions for mission and client objectives.
  • Build generative AI and RAG solutions using large language models, embeddings, vector databases, retrieval strategies, prompt engineering, and cloud-based AI services.
  • Perform data acquisition, ETL, exploratory analysis, preparation, validation, predictive modeling, and time-series analysis.
  • Develop, test, evaluate, and monitor AI/ML solutions for accuracy, reliability, scalability, security, and production performance.
  • Develop and troubleshoot APIs, data services, and AI-enabled applications integrated with enterprise systems and cloud platforms.
  • Partner with clients and stakeholders to gather requirements, communicate findings, prepare technical documentation, and support knowledge transfer.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field; a master’s degree is preferred.
  • Five or more years of experience developing data science, analytics, machine learning, or AI solutions, including leading technical tasks on complex projects.
  • Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
  • Experience designing, validating, monitoring, and optimizing machine learning models, including feature engineering and model evaluation.
  • Knowledge of large language models, embeddings, vector databases, prompt engineering, retrieval approaches, and output evaluation.
  • U.S. Citizenship and the ability to obtain and maintain a SECRET security clearance are required.

Nice to have

  • Experience with Databricks and scalable analytics, machine learning, and AI workflows.
  • Experience with AWS cloud services, Amazon Bedrock, and related AI capabilities.
  • Experience with RAG, generative AI applications, recommendation systems, automated testing, monitoring, and quality assurance.
  • Experience supporting Department of Defense, federal healthcare, or other public-sector clients.

Culture & Benefits

  • Collaborative work across multidisciplinary teams and client-facing consulting environments.
  • Competitive compensation and bonus opportunities.
  • Employer-paid healthcare.
  • Professional development funding.
  • 401(k) match.

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