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2 дня назад

Principal Data Scientist (AI/ML)

139 400 - 175 050$
Формат работы
remote (только USA)
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

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TL;DR

Principal Data Scientist (AI/ML): Leading data science and AI/ML delivery for a large-scale federal data modernization program with an accent on governed AI pipelines, MLOps, and technical leadership. Focus on designing and scaling AI services, ensuring algorithmic equity, and mentoring a team of engineers within a secure federal environment.

Location: Must be based in the United States (Remote, supporting Eastern Time business hours).

Salary: $139,400–$175,050

Company

hirify.global is a digital services company partnering with federal agencies to create intuitive products that improve the well-being of Americans.

What you will do

  • Lead data science initiatives across structured and unstructured data, including profiling, cleaning, and modeling.
  • Design, train, and deploy machine learning models and AI services within governed cloud environments.
  • Implement MLOps practices, including model lifecycle management, inference logging, and PII guardrails.
  • Manage a team of 3–5 engineers, providing technical guidance and strategic vision.
  • Ensure compliance with AI governance, including bias testing, algorithmic risk assessments, and Section 508 accessibility standards.
  • Communicate technical findings and strategic tradeoffs to leadership and cross-functional stakeholders.

Requirements

  • Master’s degree in computer science, data science, statistics, or a related field.
  • 12+ years of experience in data analysis, modeling, and management.
  • Must be a U.S. citizen or have lived in the U.S. for at least 3 of the last 5 years to pass public trust clearance.
  • Deep understanding of federal data programs, security, and privacy regulations.
  • Proficiency in Python, PySpark, R, SQL, Scala, Java, or C++.
  • Experience with big data technologies, distributed processing, and CI/CD pipelines.

Nice to have

  • Experience with NLP, computer vision, deep learning, and neural networks.
  • Hands-on experience with Databricks or AWS cloud platforms.
  • Knowledge of retrieval-augmented generation (RAG) and vector search patterns.
  • Certifications in AWS or Databricks Machine Learning.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement benefits with company contribution.
  • Paid time off and paid holidays.
  • Life and disability insurance.
  • Wellness and employee support programs.

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