Job Information
Amazon Data Scientist III, Stores Security Foundations in Austin, Texas
Description
Are you passionate about solving complex business problem using data science and machine learning? Does the prospect of solving high impact problems at Amazon scale excite you?
Security Foundations builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems, to third party vendors who do business with Amazon. We use the latest technology to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with great products.
Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job 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 solution to complex or ambiguous problems
Work closely with internal stakeholders like the business teams, engineering teams and partner teams, influence their strategies to align with your focus area
Innovate by adapting new modeling techniques and procedures
Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Show good judgment when making trade-offs between short-term customer, market, or research needs and long-term operations or technology needs.
About the team
Why you want to be on the Security Foundations team: We are technology professionals, who are genuinely passionate about continuously improving the security of Amazon systems on behalf of the Amazon customer. We also take pride in reducing the effort required for service teams across Amazon to build and maintain their systems securely. We are on a mission, have fun working together, and have a culture of learning and career growth.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA
Basic Qualifications
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.