Amazon Development Centre Canada ULC

Business Intelligence, Science, alexa and amazon devices

Sr.DataScientist,AlexaConnections

CA$143–239k Vancouver, British Columbia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Business Intelligence, Science, alexa and amazon devices
Problems you'll solve

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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