Amazon Development Centre Canada ULC
Business Intelligence, Science, alexa and amazon devices
Sr.DataScientist,AlexaConnections
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“Sr. Data Scientist, Alexa Connections at Amazon Development Centre Canada ULC. Skills: Machine learning, Data science, Statistical models. Lead development of ML/DS solutions. Power intelligent communication experiences”
What You'll Achieve.
Improve customer engagement; Improve product performance; Demonstrate measurable impact
Industry & Context.
Translate ambiguous problems; Translate complex business problems; Data-driven decision-making; Solve business problems
What They're Looking For.
Must Have
Bachelor's degree, 5+ years data querying languages, 5+ years scripting languages, 5+ years statistical software, 4+ years data scientist experience, Experience with statistical models
Nice to Have
2+ years data visualization experience, Experience managing data pipelines, Experience as a leader, Experience as a mentor
What You'll Do.
Lead development of ML/DS solutions
Power intelligent communication experiences
Translate problems into models
Design and deploy ML models
Analyze large-scale datasets
Run rigorous experiments
Improve customer engagement
Improve product performance
Shape applied science roadmap
Collaborate with global teams
Deliver AI-driven solutions
Translate business problems into solutions
Own model development lifecycle
Define and track success metrics
Conduct rigorous analyses
Build data-driven business cases
Prioritize science initiatives
Demonstrate measurable impact
Develop ML-powered systems
Lead research and analysis
Understand customer interactions
Enhance customer experience
Improve data workflows
Publish technical work
Deep dive into business metrics
Build packages in Python
Lead working sessions
Refine problem statements
Explore model architectures
Leverage AWS services
Leverage pre-trained LLMs
Solve business problems
Align on solution designs
How You'll Work.
Team & Collaboration
Partner with product; Partner with engineering; Partner with business leaders; Collaborate with global teams; Partner with operations; Partner with security teams; Cross-functional teams; Working sessions with Product Managers; Meet with Sr. Engineers; Meet with Principal Engineers; Connections leadership team
Communication Scope
Technical work
Full 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 b
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