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4 часа назад

Lead Data Scientist

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Lead Data Scientist (AI/ML and MLOps): Leading the development and production integration of advanced analytics and machine learning solutions for a cloud-native federal modernization program with an accent on MLOps, real-time processing, and AI governance. Focus on designing scalable models and streaming pipelines, integrating AI/ML across complex enterprise systems, and ensuring explainability, security, and operational reliability.

Location: McLean, Virginia; Suitland, Maryland; Virginia, DC, Maryland Metro Area, United States

Company

hirify.global delivers federal technology solutions using a product-focused approach centered on speed, ownership, and execution.

What you will do

  • Provide technical leadership for enterprise data science and AI/ML initiatives within a large-scale federal modernization program.
  • Design, validate, deploy, monitor, and scale machine learning and advanced analytics solutions in production.
  • Lead MLOps implementation for model lifecycle management, automation, observability, and continuous improvement.
  • Develop NLP, LLM, deep learning, reinforcement learning, anomaly detection, and time series solutions.
  • Design real-time and event-driven analytics pipelines and integrate AI/ML capabilities across distributed enterprise systems.
  • Establish AI governance practices, improve analytics reliability, present findings to stakeholders, and mentor data science teams.

Requirements

  • U.S. citizenship and the ability to obtain and maintain a Public Trust clearance.
  • PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 15+ years of experience in data science, AI/ML, advanced analytics, or enterprise modernization.
  • Deep expertise in machine learning, statistical modeling, MLOps, real-time analytics, and distributed data environments.
  • Strong experience with Python, R, Spark, TensorFlow, PyTorch, Databricks, DataOps, CI/CD, and Agile/SAFe delivery.
  • Ability to lead complex multi-contractor initiatives, communicate with executive stakeholders, and mentor technical teams.

Nice to have

  • Experience with large-scale federal modernization or enterprise analytics transformation programs.
  • Experience implementing responsible AI and enterprise AI governance initiatives.
  • Experience with event-driven architectures, streaming analytics, operational AI, and DevSecOps-enabled delivery.

Culture & Benefits

  • Flexible schedules and teleworking options.
  • Medical insurance plans, including HSA-eligible options.
  • Employer-paid dental, vision, short-term disability, long-term disability, and life insurance options.
  • 5% 401(k) company match, paid holidays, PTO accrual plans, and paid parental leave.
  • Professional development, career growth opportunities, and team and company-wide events.

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