Sr. Data Scientist, Alexa Connections

Amazon • Vancouver, BC

42d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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.

Benefits

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level