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Amazon Sr Data Scientist WWPS AI/ML Platforms AMP Team 
United States, Texas, Arlington 
710869510

16.09.2024
DESCRIPTION

This position requires up to 10% travel.This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
Key job responsibilities
As an Data Scientist, you will:
A day in the life
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Data Scientists capable of using data engineering, data architecture and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Diverse Experiences
AWS 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.
Work/Life Balance
Mentorship & Career Growth
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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

- 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
- Current, active US Government Security Clearance of Top Secret or above


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