As a Senior Data Scientist, you will analyze business trends and customer insights hands-on, own analyses end to end from problem definition through recommendation, and help raise the bar for scientific rigor on the team. You will mentor junior data scientists through code and methodology reviews and share best practices across the team. You will operate effectively in ambiguous environments, use sound business judgment, show high ownership and a deep understanding of the AWS business, and apply new data science methods at AWS scale.
Key job responsibilities
Set the technical direction for ML-driven product analytics across AWS Compute (EC2), GenAI & Agents, Database & Analytics, and Storage (S3)
Deliver at scale ML-Driven, proactive product analytics for ALL AWS services - initiating and driving GM/VP level conversations
Define, own and deliver Knowledge organization best practices for agentic data analytics across AWS Services
Build agentic knowledge coverage mechanisms to ensure any service GM/VP/Finance/PM leaders in AWS are able to derive accurate and well covered agentic insights
Drive the delivery of cross-service AWS insights, and influence GMs and VPs on product and process changes based on insights delivered.
Partner with other science organizations like AWS Central Econ and science (ACES) and IDEAS Science & Economics to drive AWS wide agentic analytics boundaries across organizations and governance mechanisms
Work across the AAE Science, Engineering, Core data engineering and service analytics organization to scale science and analytics to all AWS services
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
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 143,200.00 - 239,100.00 CAD annually
