Jobs in Richmond, BC and nearby (39,285 jobs)

Jobs within 25 km of Richmond, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

39,285 listings · 7,067 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (1,324 listings), Fraser Health (982 listings), Health Match BC (944 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

10,019 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	32.84	6,114
CAD / year	81,520.00	3,261
CAD / month	5,692.25	472
CAD / week	1,500.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 19% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Richmond, BC and nearby

Within 25 km

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Added 2 hours ago
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Amazon Science

Senior Data Scientist, AWS Analytics Engineering

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 10, 2026
Experience: 4+ years of data scientist experience
Posting language: English
Posted: Nov 10, 2026

Original job description

Description

Do you want to build science solutions that shape how millions of customers experience AWS products? Do you want to influence AWS investment in Cloud and AI technology, and see your recommendations inform AWS leadership decisions and drive the growth of the AWS business? Do you want to push the boundaries of data science (e.g., statistical modeling, causal inference, econometrics, product growth analytics, and forecasting models) and help democratize how AWS senior leaders access analytics insights using an agentic analytics system?

The AWS Analytics Engineering team is at the forefront of leveraging AI/ML technology and infrastructure to redefine how AWS product leaders and teams interact with and derive insights from their product and customer data. Our vision is to use data science methods to enable AWS product teams and business leaders to drive product and revenue growth and create personalized, optimized, and simplified product experiences to delight our customers.

We are looking for a customer-focused Senior Data Scientist to develop and deliver science solutions for AWS services. In this role, you will build ML-driven product analytics for AWS Compute (EC2), GenAI & Agents, Database & Analytics, and Storage (S3). You will partner with product managers, business leaders, and senior stakeholders to translate complex business problems into scientific solutions that influence AWS's top line and bottom line. You will analyze product growth insights, understand product growth drivers, and identify business risks that need to be surfaced to leadership.

As a Senior Data Scientist, you will analyze business trends and customer insights hands-on, own analyses end to end from problem definition through recommendation, and help raise the bar for scientific rigor on the team. You will mentor junior data scientists through code and methodology reviews and share best practices across the team. You will operate effectively in ambiguous environments, use sound business judgment, show high ownership and a deep understanding of the AWS business, and apply new data science methods at AWS scale.

Key job responsibilities

Set the technical direction for ML-driven product analytics across AWS Compute (EC2), GenAI & Agents, Database & Analytics, and Storage (S3)

Deliver at scale ML-Driven, proactive product analytics for ALL AWS services - initiating and driving GM/VP level conversations

Define, own and deliver Knowledge organization best practices for agentic data analytics across AWS Services

Build agentic knowledge coverage mechanisms to ensure any service GM/VP/Finance/PM leaders in AWS are able to derive accurate and well covered agentic insights

Drive the delivery of cross-service AWS insights, and influence GMs and VPs on product and process changes based on insights delivered.

Partner with other science organizations like AWS Central Econ and science (ACES) and IDEAS Science & Economics to drive AWS wide agentic analytics boundaries across organizations and governance mechanisms

Work across the AAE Science, Engineering, Core data engineering and service analytics organization to scale science and analytics to all AWS services

Basic Qualifications

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

Preferred Qualifications

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

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 - 143,200.00 - 239,100.00 CAD annually

Apply on LinkedIn About employer

More about this job

Responsibilities

Set the technical direction for machine-learning-driven product analytics across AWS services, delivering proactive insights and agentic analytics capabilities that help leaders make product and business decisions. Partner across science, engineering, and service organizations to identify growth drivers and risks, influence senior leaders, establish knowledge organization and governance practices, and mentor data scientists.

Requirements

Requires at least 5 years of experience with data querying, scripting, or statistical software and at least 4 years of data scientist experience, including experience with statistical models such as multinomial logistic regression. Preferred qualifications include at least 2 years of data visualization experience, data pipeline management experience, and leadership or mentoring experience on a data science team.

Skills

SQL
Python
Statistical Modeling
Multinomial Logistic Regression
Causal Inference
Econometrics
Product Growth Analytics
Forecasting
Machine Learning
Data Visualization
Data Pipelines
Agentic Analytics
Product Analytics
Mentoring
AWS QuickSight
Tableau

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan (DPSP)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

AWS
AWS Analytics Engineering
Amazon EC2
Amazon S3
GenAI
AI
Machine Learning
SQL
Python
R
SAS
MATLAB
Statistical Modeling
Multinomial Logistic Regression
Causal Inference
Econometrics
Forecasting
Product Growth Analytics
Product Analytics
Agentic Analytics
Data Visualization
AWS QuickSight
Tableau
R Shiny
Data Pipelines
Cloud Computing
Customer Insights
Revenue Growth
Knowledge Organization
Data Governance

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Jobs in Richmond, BC and nearby