Data Scientist, AWS Security

Amazon

Maryland

On-site

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

RSUs
Sign-on payments
Health insurance
Dental
Vision
Paid time off
Parental leave

Job summary

Amazon is seeking a Data Scientist to leverage advanced analytics and machine learning to protect cloud infrastructure from security threats. You will develop anomaly detection models, predictive algorithms, and real-time analysis systems to identify and mitigate cyber threats across Amazon's infrastructure.

Responsibilities include analyzing security data, building data pipelines, and translating findings into actionable security insights.

Qualifications

  • 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
  • Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM fields.

Responsibilities

  • Analyze large-scale security data using statistical methods and data mining techniques.
  • Create automated systems for real-time pattern recognition and risk assessment.
  • Build data pipelines and ETL processes to handle massive security datasets.
  • Translate complex analytical findings into actionable security insights.
  • Run experiments to assess potential risk of security responses.
  • Expand our existing LLM agent pipelines.
  • Analyze post-mortems to identify signals that could have prevented incidents.

Skills

SQL
Python
ML / statistical modeling
Data analysis

Education

Master’s in STEM
PhD preferred

Tools

SAS
Matlab
Perl

Job description

Job ID: 10435024 | Amazon.com Services LLC

Job Summary

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. You'll develop and deploy sophisticated anomaly detection models, predictive algorithms, and real‑time analysis systems that identify and help automate the mitigation of cyber threats across Amazon's infrastructure. Your expertise in statistical analysis, machine learning, and big data processing will be crucial in building scalable security solutions.

Responsibilities
  • Analyze large‑scale security data using statistical methods and data mining techniques.
  • Create automated systems for real‑time pattern recognition and risk assessment.
  • Build data pipelines and ETL processes to handle massive security datasets.
  • Translate complex analytical findings into actionable security insights.
On-Call Responsibility

This position involves on‑call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.

Key Job Responsibilities
  • Running experiments to assess potential risk of security responses.
  • Expanding our existing LLM agent pipelines.
  • Analyzing post‑mortems to understand what data signals could have prevented the occurrence.
About the Team

Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, training, and other career‑advancing resources here to help you develop into a better‑rounded professional.

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications
  • 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
  • Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM fields.
Preferred Qualifications
  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
  • Knowledge of machine learning concepts and their application to reasoning and problem‑solving.
  • Experience in Python, Perl, or another scripting language.
  • Experience in a ML or data scientist role with a large technology company.
  • Experience in defining and creating benchmarks for assessing GenAI model performance.
  • Experience applying quantitative analysis to solve business problems and making data‑driven business decisions.

Base salary range: $136,000.00 – $184,000.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Comprehensive benefits include health insurance, dental, vision, prescription coverage, basic life & AD&D insurance, supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

If you have a disability and need a workplace accommodation or adjustment, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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