Requirements
,• 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
,• Bachelor's degree
,• (Desirable) 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
,• (Desirable) Experience managing data pipelines
,• (Desirable) Experience as a leader and mentor on a data science team
What the job involves
,• We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights
,• We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace
,• If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising
,• The Global Optimization (GO) team within Sponsored Products and Brands at Amazon Ads is re-imagining the advertising stack from the ground up across 20+ marketplaces
,• You will develop scalable analytical approaches to evaluate marketplace performance across the entire Ads stack to uncover regional and marketplace-specific insights, design and run experiments, and shape our development roadmap
,• We operate as a closely integrated team of Data Scientists, Applied Scientists, and Engineers to translate data-driven insights into measurable business impact
,• If you're energized by solving complex challenges at international scale and pushing the boundaries of what's possible with GenAI, join us in shaping the future of global advertising at Amazon
,• Write code to obtain, manipulate, and analyze data to derive business insights
,• Apply statistical and ML knowledge to specific business problems and data
,• Analyze historical data to identify trends and support optimal decision making
,• Formalize assumptions about how our systems are expected to work and develop methods to systematically identify high ROI improvements
$175,100 - $236,900
year
FULL TIME
senior
4/14/2026
You will be redirected to Amazon's application portal.