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Amazon Science

Data Scientist, ADE Analytics

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 17, 2026
Posting language: English
Posted: Jul 25, 2026

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Original job description

Description

The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown.

As a Data Scientist on our team, you'll work with complex data, develop statistical methodologies, and provide critical product insights that shape how we build and optimize our solutions. You will work closely with your Analytics and Applied Science teammates. You will build frameworks and mechanisms to scale data solutions across our organization. If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you.

Key job responsibilities

Key job responsibilities

Problem-Solving

Analyze complex data to identify patterns, inform product decisions, and understand root causes of anomalies.
Develop analysis and modeling approaches to drive product and engineering actions to identify patterns, insights, and understand root causes of anomalies. Your solutions directly improve the customer experience.
Independently work with product partners to identify problems and opportunities. Apply a range of data science techniques and tools to solve these problems. Use data driven insights to inform product development. Work with cross-disciplinary teams to mechanize your solution into scalable and automated frameworks.

Data Infrastructure

Build data pipelines, and identify novel data sources to leverage in analytical work - both from within Alexa and from cross Amazon
Acquire data by building the necessary SQL / ETL queries

Communication

Excel at communicating complex ideas to technical and non-technical audiences.
Build relationships with stakeholders and counterparts. Work with stakeholders to translate causal insights into actionable recommendations
Force multiply the work of the team with data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets and product insights
Collaborate with cross-functional teams. Mentor teammates to foster a culture of continuous learning and development

Basic Qualifications

2+ years of data scientist experience
2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

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 - 109,100.00 - 182,200.00 CAD annually

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More about this job

Responsibilities

Analyze complex data and apply statistical and machine learning methods to identify patterns, explain anomalies, and inform product decisions. Build scalable data pipelines and analytical frameworks, and communicate actionable insights to stakeholders through recommendations, visualizations, presentations, and dashboards.

Requirements

Requires at least two years of data science experience and two years of experience with SQL, scripting or statistical software, and machine learning or statistical modeling and analysis techniques. Also requires a STEM master's degree or relevant STEM work experience; preferred qualifications include machine learning knowledge, Python or another scripting language, cross-disciplinary project experience, and strong communication skills.

Skills

Data Science
SQL
Python
Statistical Modeling
Machine Learning
Data Analysis
Data Pipelines
ETL
Causal Analysis
Product Analytics
Data Visualization
Dashboard Development
Stakeholder Communication
Cross-Functional Collaboration
Problem-Solving
Mentoring

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life Insurance
Accidental Death and Dismemberment Insurance
Deferred Profit Sharing Plan
Paid Time Off
Sign-On Payments
Restricted Stock Units

Visa sponsorship

Not detected in the job text

Keywords

Alexa
Data Science
Product Analytics
Statistical Methodologies
Machine Learning
Statistical Modeling
Data Analysis
SQL
Python
Perl
R
SAS
MATLAB
Data Pipelines
ETL
Data Infrastructure
Causal Insights
Data Visualization
Dashboards
Product Development
Root Cause Analysis
Automated Frameworks
Cross-Functional Collaboration
Customer Experience
Business Decision-Making

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