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5 часов назад

Data Scientist (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle
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 (AI): Developing and deploying analytics, machine learning, NLP, and AI solutions for a defense health mission-critical program with an accent on generative AI, RAG, predictive modeling, and decision-support analytics. Focus on building LLM-based solution components, processing and modeling complex healthcare and operational data, integrating APIs and cloud services, and delivering reliable production systems.

Location: Remote or hybrid in Falls Church, Virginia, or San Antonio, Texas; periodic travel may be required. Must be a U.S. Citizen and able to obtain and maintain a SECRET security clearance.

Company

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

What you will do

  • Develop and deploy analytics, machine learning, NLP, and AI solutions for healthcare, business, and operational challenges.
  • Build generative AI and RAG components using large language models, embeddings, vector databases, retrieval strategies, prompt engineering, and cloud AI services.
  • Perform data acquisition, ETL, exploratory analysis, data preparation, feature engineering, validation, predictive modeling, and time-series analysis.
  • Develop, test, evaluate, deploy, and monitor AI/ML components for accuracy, reliability, scalability, security, and production performance.
  • Create dashboards, visualizations, and analytic products, and develop APIs, data services, and AI-enabled application components.
  • Partner with clinical, operational, technical, and client stakeholders to gather requirements, communicate findings, document solutions, and support delivery.

Requirements

  • Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, health informatics, public health, or a related field; a master’s degree is preferred.
  • Two to four years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments.
  • Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment.
  • Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis.
  • Working knowledge of NLP, large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation.
  • U.S. Citizenship and eligibility to obtain and maintain a SECRET security clearance are required.

Nice to have

  • Experience supporting military or veteran healthcare systems.
  • Experience with Databricks, AWS, Amazon Bedrock, Amazon Redshift, or comparable cloud data and AI platforms.
  • Experience with generative AI applications, RAG, recommendation systems, chatbots, automated testing, monitoring, or quality assurance for AI solutions.

Culture & Benefits

  • Client-facing consulting and delivery work within multidisciplinary project teams.
  • Collaboration through Git, code reviews, Agile ticketing, and established development practices.
  • Employer-paid healthcare and a 401(k) match.
  • Competitive compensation, bonus opportunities, and professional development funding.
  • Periodic travel may be required.

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