Data Scientist II – Amazon – Vancouver, BC
Location: Vancouver, BC | Company: Amazon
Amazon is seeking a Data Scientist II to join their Private Brands Selection Guidance team in Vancouver, BC. This is a fantastic opportunity to work on cutting-edge science and tech solutions that enhance customer experience with Amazon’s private brands like Amazon Basics and Amazon Essentials.
In this role, you’ll apply your skills in Generative AI, Machine Learning, Statistics, and Economics to influence product assortment and strategic decisions. If you’re passionate about solving complex business problems and making a direct impact, this position is for you.
About the Role: Data Scientist II
As a Data Scientist II, you’ll investigate business problems using data and develop novel solutions and prototypes. Your responsibilities will include reviewing and guiding the team’s designs and implementations, enhancing the team’s research capabilities, and contributing to the development of production-ready solutions.
You’ll ensure compliance with industry best practices, promote teamwork, and foster a culture of safety and collaboration within the team.
Benefits and Salary
Amazon offers a competitive salary range of 109,100.00 – 182,200.00 CAD annually for this position. The comprehensive benefits package includes health insurance, RRSP, DPSP, paid time off, and more, tailored to improve your overall well-being.
Job Details
📌 Job Type: Full-time
🏢 Company: Amazon.com.ca, ULC
📍 Location: Vancouver, BC
🆔 Requisition ID: 3182132
🗓️ Date Posted: 2026-02-17
💰 Pay: 109,100.00 – 182,200.00 CAD annually
Responsibilities
As a Data Scientist II, your day-to-day work will involve partnering with business stakeholders to transform ambiguous business issues into science-driven solutions. Your responsibilities are crucial in shaping Amazon’s private brand strategies.
- Partner with stakeholders to understand and frame business problems
- Perform data analysis and build data pipelines
- Invent novel solutions and deploy production software
- Review and guide the team’s science solutions
- Publish and promote research within and outside Amazon
Requirements / Skills
The ideal candidate is someone who thrives in a fast-paced environment and is keen on applying theoretical models in practical settings. Amazon values innovation, collaboration, and a passion for science.
- 2+ years of data scientist experience
- 3+ years of experience with data querying languages, scripting, or statistical software
- Machine learning/statistical modeling experience
- Master’s degree in STEM fields or equivalent experience
- Experience with AI systems and theoretical model application
How to Apply
Interested candidates are encouraged to apply through the official Amazon job posting to ensure all applications are considered.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Data Scientist II role at Amazon in Vancouver is perfect for candidates who excel in machine learning, data analysis, and problem-solving. On your resume, emphasize any experience with data querying languages, attention to detail, and your ability to work in a fast-paced environment. If you’ve previously worked in technology companies, make sure to highlight specific achievements and responsibilities that align with this position.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like data scientist, machine learning, and AI systems that appear in the posting. Quantify your achievements where possible (e.g., “developed a model that improved prediction accuracy by 20%”). Write a brief cover letter expressing your genuine interest in Amazon and why you’re excited about this opportunity in Vancouver. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Amazon‘s values, recent news, and company culture beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your data analysis skills. Common questions may include scenarios about problem-solving, teamwork, handling pressure. Dress appropriately for a tech industry environment, arrive 10-15 minutes early, and bring copies of your resume. Prepare thoughtful questions about the role, team dynamics, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
