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10 часов назад

Senior Data Scientist (AI/Security)

159 200 - 215 300$
Формат работы
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

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TL;DR

Senior Data Scientist (AI/Security): Leading the science strategy for intelligent, cloud-agnostic security tools with an accent on agentic AI, anomaly detection, and threat classification. Focus on architecting RAG pipelines, designing multi-agent security systems, and scaling AI-first development practices at hirify.global scale.

Location: Hybrid; Must be based near an hirify.global office in the USA (specifically Austin, TX)

Salary: $159,200 – $215,300 annually

Company

hirify.global Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

What you will do

  • Define modeling strategies and success metrics for AI-first security capabilities, agentic systems, and automated response.
  • Architect RAG pipelines, evaluation frameworks, and feedback loops for multi-agent security systems.
  • Lead the design and deployment of ML or statistical models in large-scale production environments.
  • Prototype and validate ambiguous hypotheses using real customer signals to chart paths to production.
  • Mentor data scientists and applied scientists, leading technical and science reviews.
  • Collaborate with senior engineers and executives to translate complex scientific trade-offs into product roadmaps.

Requirements

  • 5+ years of experience with SQL, Python, or statistical software.
  • 4+ years of professional experience as a Data Scientist.
  • Experience with statistical models (e.g., multinomial logistic regression) and deploying ML models at scale.
  • Practical experience with AI-assisted or agentic coding practices.
  • Bachelor's degree in engineering, computer science, mathematics, or a related quantitative field.
  • Must be able to work in a hybrid model near a US hirify.global office.

Nice to have

  • Master's degree or PhD in a quantitative field.
  • Experience deploying LLMs in production on GPUs, Neuron, or TPU.
  • Expertise in NLP, Regression, Classification, Clustering, or Anomaly Detection.
  • Experience with data visualization tools such as AWS QuickSight or Tableau.
  • Proven track record as a tech lead or mentor on a data science team.

Culture & Benefits

  • Hybrid work model combining uninterrupted focus time with in-person collaboration.
  • Competitive compensation including sign-on payments and Restricted Stock Units (RSUs).
  • Comprehensive health insurance (medical, dental, vision) and 401(k) matching.
  • Paid time off, parental leave, and mental health support.
  • Inclusive culture with employee-led affinity groups and dedicated mentorship resources.

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