Data Scientist, AppStar Data Analytics & Engineering

Amazon • New York, NY

3d

About The Position

Are you passionate about transforming how Amazon identifies and addresses
security risks through data science and machine learning? Does the prospect of
using advanced analytics to drive measurable improvements in application
security at scale excite you?

As a Data Scientist on the AppStar DNA team (Data & Analytics Engineering), you
will build data-driven solutions that help security teams across the AppStar
organization identify patterns, prioritize efforts, and measure the impact of
security initiatives. You will develop machine learning models, conduct
exploratory data analysis, and create predictive algorithms that transform raw
security data into actionable insights. Your work will enable security leaders
to shift from intuition-based decisions to data-driven strategies backed by
rigorous quantitative analysis.

You should be passionate about working with huge datasets and someone who loves
to bring datasets together to answer business questions. You bring expertise in
machine learning, statistical modeling, and data analysis, and you combine that
with curiosity and business judgment to solve ambiguous problems at Amazon
scale.

Amazon is continuously innovating new services and features for our customers.
Our engineers invent, build, and sometimes break things to make them easier,
faster, better, and more cost-effective. However, no matter what we're
building—from websites to web services, AR to AI, drones to devices—security is
always our top priority. The Amazon Application Security team focuses on working
with our builders to provide experiences that our customers can trust. That
means constantly learning new things and solving complex problems to protect the
safety, security, and privacy of billions of lives on a global scale.

At Amazon, you'll be working with the best minds in technology and security.
Learn and be curious here, and accelerate your career growth. You can take pride
in knowing that your work is meaningful, having a positive impact on others and
making the world a better place.

Requirements

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 1+ years of working with or evaluating AI systems experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• Experience applying theoretical models in an applied environment

Nice To Haves

• 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 working on multi-team, cross-disciplinary projects

Responsibilities

• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models
• With your broad expertise in a variety of data science disciplines, recommend the right data science strategy and drive solutions to complex or ambiguous problems
• Develop machine learning models for pattern recognition, classification, and prediction across security domains
• Build clustering algorithms that identify root causes and patterns across thousands of security issues
• Create statistical models and forecasting algorithms to predict security performance trends and identify improvement opportunities
• Design and implement data correlation pipelines that integrate security signals from multiple sources
• Work closely with internal stakeholders like business intelligence engineers, data engineers, security teams, and leadership to influence strategies and align solutions with organizational needs
• Innovate by adapting new modeling techniques and procedures to solve never-before-solved security problems
• Passionate about working with huge datasets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
• Communicate results to diverse audiences of varying technical backgrounds with effective writing, visualizations, and presentations

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level