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Sr. Data Scientist, Alexa Connections

ID: 5837

Type: Full-time

Category: Others

Company Name: Amazon Development Centre Canada ULC

Location: CAN, BC, Vancouver - Vancouver - Canada

Salary: 143,200.00 - 239,100.00 CAD annually

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Job Description

As a Sr. Data Scientist in Alexa Connections, you will lead the end-to-end development of machine learning and data science solutions that power intelligent communication experiences across channels such as calling, messaging and email. You will partner closely with product, engineering, and business leaders to translate ambiguous problems into scalable ML models, experimentation frameworks, and data-driven product decisions. In this role, you will design and deploy advanced ML and statistical models for capabilities such as prioritization, intent detection, and proactive action recommendations. You will analyze large-scale datasets and run rigorous experiments, including A/B testing and causal analysis, to measure impact and continuously improve customer engagement and product performance. Additionally, you will shape the applied science roadmap and collaborate with global cross-functional teams to deliver AI-driven solutions that scale to millions of Alexa customers.

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 world’s 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.

Basic Qualifications

- Bachelor's 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

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 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

Company Information

Company Name: Amazon Development Centre Canada ULC

Company Website: https://www.amazon.jobs/en/locations/canada

Company Address: CAN, BC, Vancouver

Amazon Development Centre Canada ULC is a Canadian legal entity and part of the global Amazon organization that houses software development, product engineering, research and related technical operations supporting Amazon’s consumer retail, cloud, devices, media and advertising businesses. As a development centre entity within Amazon’s corporate structure, it functions as an engineering and product delivery organization that employs software engineers, data scientists, machine learning specialists, product managers, designers, quality engineers and operations staff to design, build, test and operate software systems and services used by Amazon customers and internal business teams. The company’s core activities are centered on software and systems development across multiple technology domains. These activities typically include back-end and front-end application development, distributed systems engineering, cloud services work (including integration with Amazon Web Services), data engineering, analytics and machine learning model development, natural language processing work for voice services, computer vision R&D, infrastructure automation, security engineering and developer tooling. Teams operating under the development centre model commonly focus on delivering scalable services for retail commerce (catalog, search, recommendations, pricing, inventory and checkout), digital media (streaming and content delivery), consumer devices (software for Alexa-enabled products and IoT integrations), advertising technology (targeting, measurement and auction systems), and enterprise offerings (AWS features and management tools). The organisation also supports lifecycle activities for Amazon products and services, including product management, technical program management, continuous integration and continuous delivery (CI/CD) pipelines, site reliability engineering (SRE), monitoring and incident response, performance engineering, and operational support. Development centres play a role in prototyping new features, running experiments and A/B tests, and collaborating with global product teams to localize and adapt features for Canadian markets when appropriate. The teams frequently interface with cross-functional stakeholders—user experience researchers, UX designers, business analysts, legal and policy teams, and operations—to deliver end-to-end solutions aligning with Amazon’s product and customer experience goals. In terms of products and services, Amazon Development Centre Canada ULC does not sell consumer-facing products under its own brand; rather, it contributes engineering and product work to Amazon’s broad portfolio. Outputs from its teams feed into Amazon’s retail platforms (amazon.ca and global retail storefronts), AWS services, Alexa and Echo device software, Prime Video and digital content systems, Amazon Logistics and fulfillment technology, Amazon Advertising products, and other Amazon-owned services. These contributions include new features, performance and scale improvements, security and compliance implementations, localization for Canadian customers, and enhancements to data and machine-learning systems used for personalization, fraud detection, supply chain optimization and advertising. As a legal entity in Canada, Amazon Development Centre Canada ULC typically supports hiring and employment, payroll administration, workplace facilities and compliance with Canadian regulatory and labour requirements for Amazon’s engineering workforce in the country. The development centre model enables Amazon to maintain distributed engineering capacity outside its U.S. headquarters, providing both local product focus and integration into Amazon’s global engineering processes and technology stacks. Teams in such centres often collaborate closely with other Amazon engineering groups across North America, Europe and Asia, participating in shared codebases, microservice architectures, global release processes and Amazon-wide technical standards. Amazon’s publicly stated corporate mission—to be Earth’s most customer-centric company—is reflected in the development centre’s emphasis on customer-focused product delivery, data-driven decision-making and rapid iteration. The centre’s efforts are typically aligned to measurable customer outcomes such as lower latency, more relevant search results and recommendations, improved reliability and availability of services, faster feature delivery, and localized enhancements that improve the experience for Canadian customers. The operation also invests in workforce development, supporting internships, university hiring pipelines, co-op programs and community engagement in the technology ecosystem, as part of Amazon’s broader commitments to hiring and local economic participation. Security, privacy and regulatory compliance are also core considerations for engineering work done by Amazon Development Centre Canada ULC. Teams are expected to follow Amazon-wide security practices, data protection standards and compliance programs to meet applicable Canadian and international legal requirements, particularly for customer data, payment processing and cloud services. Research and engineering efforts may include building privacy-preserving machine learning, secure authentication systems, and compliance tooling to support regulated industries and jurisdictional requirements. Overall, Amazon Development Centre Canada ULC operates as a technology-focused subsidiary entity within the Amazon corporate family, delivering software engineering, data science and product development work that underpins many of Amazon’s consumer and enterprise offerings. Its contributions enable Amazon to scale technology development globally while retaining localized capabilities for the Canadian market.
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