Sr. Data Scientist, Alexa Connections
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Key job responsibilities
- Partner with product engineering operations and security teams to translate complex business problems into scalable production-ready data science and ML solutions.
- Own the full lifecycle of model development including exploratory analysis model design deployment monitoring and continuous improvement.
- Define and track success metrics conduct rigorous analyses and provide insights that guide product launches feature improvements and data-driven decision-making.
- Build data-driven business cases to prioritize science initiatives and demonstrate measurable impact of ML solutions.
- Develop ML-powered systems supporting key business areas.
- Lead research and analysis to understand customer interactions with Alexa and enhance overall customer experience.
- Contribute to the broader science community by mentoring analysts improving data workflows and tooling and publishing technical work in internal and external forums.
A day in the life
Deep dive into our business metrics analyze data trends and reviewing dashboards
Writing code: building packages in Python writing SQL queries deploying solutions for Connections experience teams to consume.
Leading or joining working sessions with Product Managers to refine problem statements new initiatives.
Exploring new features and model architectures leveraging AWS services documentation and upskilling yourself to the latest technologies.
Leverage pre-trained LLMs to build applications that solve business problems for Connections experiences.
Meet with Sr. Engineers/Principal Engineers to align on solution designs.
Own or co-own MBR WBR documents that are reviewed with Connections leadership team.
About the team
Alexa Connections aspires to make Alexa the worlds most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit knowing our customers have plentiful choices b) Completion of end-to-end customer journeys beyond shipping features and c) Joy through personalized proactive experiences that create a memory.
- Bachelors degree
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company Amazons 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 - 143200.00 - 239100.00 CAD annually
Required Experience:
Senior IC
Key Skills
About Company
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