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Senior Data Scientist

Staples Canada

Richmond Hill

On-site

CAD 80,000 - 110,000

Full time

6 days ago
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Job summary

An established industry player is seeking a Senior Data Scientist to lead innovative projects that leverage machine learning and data analytics. This role involves developing and implementing statistical models, identifying impactful ML opportunities, and collaborating with cross-functional teams to enhance business intelligence. The ideal candidate will have a strong background in big data technologies, proficiency in SQL and Python, and experience with reporting tools like Looker. Join a dynamic team that values diversity and encourages professional growth while making a significant impact in the retail sector.

Benefits

Associate discount
Health and Dental benefits
RRSP/DPSP
Performance bonuses
Learning & Development programs

Qualifications

  • 5-8 years of experience with big data technologies and machine learning.
  • Hands-on AI/ML experience required.

Responsibilities

  • Lead the development of statistical and ML models, including testing and monitoring.
  • Architect a low-code ML/AI strategy on Google Cloud Platform.

Skills

Machine Learning
Statistical Modeling
SQL
Python
Node.js
Data Mining
ETL
Google Cloud Platform
Looker
Tableau

Education

Post-secondary education

Tools

Looker
Google Cloud Platform

Job description

Join to apply for the Senior Data Scientist role at Staples Canada

Some of what you will do:

  • Lead the development of statistical and ML models, including research, model testing, debugging, monitoring, documentation, and maintenance.
  • Proactively identify areas of the business where Machine Learning can make the most valuable impact across multiple teams.
  • Architect a low-code/low-infrastructure ML/AI strategy on Google Cloud Platform.
  • Establish scalable, efficient, and automated processes for large-scale data ingestion.
  • Manage calculated customer trait definitions in a feature store.
  • Present business intelligence and advise end users and senior leadership on model outputs.
  • Provide quantitative research and analysis to identify process improvements.
  • Develop dashboards and reporting in Looker and develop in LookML to support self-serve reporting.
  • Advise and consult with other teams in the business seeking to leverage ML/AI.

Some of what you need:

  • Post-secondary education is required.
  • Previous hands-on AI/ML experience required.
  • Understanding of serverless computing concepts, ideally within Google Cloud Platform.
  • Expert working knowledge of SQL, Python, and/or Node.js.
  • Experience with data mining, cleansing, and ETL.
  • Comfortable developing reporting in BI tools like Looker or Tableau.
  • Familiarity with the Segment customer data platform.
  • 5-8 years of experience with big data technologies and machine learning.

Some of what you will get:

  • Associate discount
  • Health and Dental benefits
  • RRSP/DPSP
  • Performance bonuses
  • Learning & Development programs
  • And more...

#MakeAnImpact

About Us

Staples Canada is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates, including those with disabilities.

About The Team

At Staples Canada, we are dynamic, inspiring partners to our customers and communities. As The Working and Learning Company, we inspire people to work smarter, learn more, and grow every day. We seek curious, approachable, and passionate individuals who love finding solutions. If that’s you, let’s work, learn, and grow together.

We are building an inclusive and diverse team. Staples Canada values perspectives from backgrounds that vary by race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. If you require accommodation due to a disability or special need, please let us know.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Retail
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