Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Data Scientist Senior

AmazonAustin - On-Site

Posted 2w ago🏛️ On-SiteSeniorData Scientist📍 Austin💰 $159,200 - $215,300 / yearly
Apply Now →

Overview

Amazon is hiring a Senior Data Scientist for their Vulnerability Management & Remediation team. You'll leverage advanced analytics and machine learning to provide insights and expose risks in security systems. This role requires expertise in Python, machine learning, and statistical analysis.

Job Description

Who you are

You have 5+ years of experience as a Data Scientist, with a strong background in statistical analysis and machine learning. Your expertise in Python allows you to develop and deploy sophisticated models that enhance security solutions. You are familiar with big data processing and have experience working with large datasets, which is crucial for analyzing security data effectively.

You possess a deep understanding of anomaly detection models and predictive algorithms, enabling you to identify flaws in findings pipelines. Your collaborative spirit shines through as you work with software engineers, security engineers, and business intelligence engineers to translate complex analytical findings into actionable insights. You are enthusiastic, empathetic, and motivated, thriving in a diverse team environment.

Desirable

Experience with AWS technologies, particularly Amazon SageMaker and EMR, is a plus. Familiarity with automated systems for real-time pattern recognition and risk assessment will set you apart. You are curious and eager to learn, always looking for ways to improve processes and outcomes.

What you'll do

As a Senior Data Scientist, you will leverage advanced analytics to provide insights into our Vulnerability Management systems. You will develop and deploy sophisticated anomaly detection models and predictive algorithms that enhance our security posture. Your role involves analyzing large-scale security data using statistical methods and data mining techniques to identify risks and vulnerabilities.

You will create automated systems for real-time pattern recognition and risk assessment, ensuring that our findings pipeline is robust and efficient. Building data pipelines and ETL processes to handle massive security datasets will be a key responsibility, allowing you to streamline data flow and enhance analysis capabilities.

Collaboration is at the heart of this role; you will work closely with cross-functional teams to ensure that analytical insights are effectively communicated and implemented. Your ability to translate complex findings into actionable security insights will be crucial in driving improvements in our security systems.

What we offer

At Amazon, we provide a comprehensive benefits package that includes dental, vision, and prescription coverage, along with options for supplemental life plans. You will also have access to mental health support and a medical advice line. Our 401(k) matching program and generous paid time off policies reflect our commitment to employee well-being. The salary for this position ranges from $159,200 to $215,300 annually, reflecting the value we place on your expertise and contributions.

Join us in building scalable security solutions that protect our systems and customers. We encourage you to apply even if your experience doesn't match every requirement. Your unique perspective and skills could be the perfect fit for our team.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Amazon.

Similar Jobs You Might Like

Based on your interests and this role

Roku

Data Scientist

Roku📍 Austin

Roku is hiring a Senior Data Scientist to leverage Big Data for generating insights that drive significant business decisions. You'll utilize your technical skills and analytical thinking to partner with business leaders. This role requires strong communication skills and experience in data analysis.

Senior
7h ago
SentiLink

Data Scientist

SentiLink📍 United States - Remote

SentiLink is seeking a Senior Data Scientist to drive innovative identity verification solutions. You'll work on real-time APIs and contribute to the future of identity verification in the United States. This role requires expertise in data science and analytics.

🏠 RemoteSenior
1 month ago
SecurityScorecard

Data Scientist

SecurityScorecard📍 Austin - Hybrid

SecurityScorecard is hiring a Senior Data Scientist to develop and implement advanced machine learning models leveraging unique cybersecurity data. You'll work with Python and SQL to drive insights and improve cybersecurity ratings.

🏢 HybridSenior
3w ago
Apple

Data Scientist

Apple📍 Austin - On-Site

Apple is hiring a Data Science Manager for their Strategic Data Solutions team to lead a diverse group of data professionals. You'll focus on analytics and experimentation, partnering with machine learning engineering leaders. This role requires strong leadership in data science and analytics.

🏛️ On-SiteLead
2w ago
Apple

Data Scientist

Apple📍 Austin

Apple is hiring a Data Scientist focused on Business Process Re-Engineering to turn data into impactful insights. You'll develop analytical models and visualizations to drive business decisions. This role requires a strong background in data science and analytics.

Mid-Level
7 months ago