Senior Data Scientist (AI/Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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 scale.
Location: Hybrid; Must be based near an office in the USA (specifically Austin, TX)
Salary: $159,200 – $215,300 annually
Company
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 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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