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Added 1 day ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
A modern, well-maintained stack (Dataform, BigQuery, Looker, GitHub Actions, OpenCode) with active investment in developer experience and tooling
Added 1 day ago
PT
Product Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
Comfort with data. SQL is a plus. PostHog or Amplitude-style product analytics is table stakes. You can answer “is this feature actually being used” without asking anyone.
Added 1 day ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 1 day ago
J
Data Analyst, Business Intelligence - Entry Level
Jobright.ai
Canada
- Full-time
Experience with Python or reporting automation
Added 1 day ago
J
Machine Learning Engineer Intern
Jobright.ai
Canada
- Internship
Familiarity with SQL, cloud services, APIs, or data pipelines
Added 1 day ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for:…
Added 1 day ago
AA
Gestionnaire de projet en ingénierie / Project Manager, Engineering
Airbus Aircraft
Montreal, QC
- Full-time
Forte maîtrise de l'extraction, de l'analyse et de la visualisation de données (Excel/Google Sheets avance, SQL, Python, Qlik, Tableau, Apps Script, MS SQL, etc.);
Added 1 day ago
S
Data Analyst
SMARTFOX
Canada
- Full-time
SQL | [Power BI / Tableau / Looker] | Excel | [Snowflake / BigQuery / Redshift / Databricks] | [Python or R] | [dbt] | Git
Added 1 day ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Maîtrise du langage SQL. Expérience de l'extraction de données complexes et hautement dimensionnelles, ainsi que de la modélisation de scénarios et de l'analyse de sensibilité à l'aide…
Added 1 day ago
Principal Data Scientist
Region of Waterloo
Waterloo, ON
Performs data analysis using standard tools such as Python, SQL, R, and related technologies to support evidence-based decision-making across the Department. Develops analyses, forecasts,…
Added 1 day ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 1 day ago
CC
Data Scientist
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Strong experience working with large, complex datasets and proficiency in SQL and Python.
Added 1 day ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 1 day ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 1 day ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 1 day ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 1 day ago
SG
OTC Derivatives Analyst
S&P Global
Toronto, ON
- Full-time
Other programming experience in any language e.g., SQL, Python
Added 1 day ago
J
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
Experience with React, Next.js, Node.js, Python, or similar technologies
Added 1 day ago
Data Scientist
CONA Services
Toronto, ON
Strong experience working with large, complex datasets and proficiency in SQL and Python.
Added 1 day ago
Data Scientist
CONA Services
Toronto, ON
Strong experience working with large, complex datasets and proficiency in SQL and Python.
Added 1 day ago
RB
Senior Analyst, IT Risk Analytics & Reporting (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
3+ years working with SQL, data modeling, or data analytics
Added 1 day ago
J
Technical Support Specialist - Bilingual French
Jobgether
Canada
- Full-time
Strong technical aptitude and analytical problem-solving skills, with working knowledge of programming languages such as SQL, Python, C#, or JavaScript highly valued.
Added 1 day ago
J
Technical Support Specialist - Bilingual French
Jobgether
Canada
- Full-time
Strong technical aptitude and analytical problem-solving skills, with working knowledge of programming languages such as SQL, Python, C#, or JavaScript highly valued.
Added 1 day ago
OC
Odoo Developer
OERP Canada
Toronto, ON
- Internship
The developer team is responsible for reviewing and writing and testing code within implementations and customization on customer systems, helping them streamline their business with OERP…
Added 1 day ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…team of incredibly talented industry specialists and will work with the very latest hardware and software…

CONA Services

Data Scientist

Toronto, ON, Canada

Salary – The base salary range for this position is from $82,800 - $105,000 annually.

Apply About employer

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Job details

Pay: Salary – The base salary range for this position is from $82,800 - $105,000 annually.
Apply by: Oct 17, 2026
Experience: 3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
Posting language: English
Posted: Sep 17, 2026

Original job description

Toronto, Ontario | Hybrid

Human Powered. Customer Centric. Future Ready.

For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.

Role Details

Work Location – Toronto
Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs. In-office expectations are subject to change as business requirements evolve.
Salary – The base salary range for this position is from $82,800 - $105,000 annually.
Initial Posting Close Date – October 16, 2026

The starting base salary offered is based on market location and may vary depending on job-related knowledge, role complexity, skills, experience, and internal equity.

About This Opportunity

We are recruiting for a Data Scientist to join our Data Science and Advanced Analytics team. This Advanced Analytics role is part of the broader Technology function and plays a key role in supporting high impact, data driven initiatives across the organization. The team partners with stakeholders in commercial strategy, sales execution, and operations to address complex business challenges through advanced analytics and machine learning.

As a Data Scientist, you will contribute to cross functional projects involving demand modeling, promotion and trade spend optimization, pricing and elasticity analysis, network and inventory optimization, and scenario modeling. You will work closely with business partners to translate exploratory analytical work into scalable, production ready solutions that enhance planning, strengthen decision making, and improve execution across the organization.

This is an exciting opportunity to leverage your experience in data science, advanced analytics, or applied machine learning to help solve meaningful business challenges and turn complex data into practical, scalable insights.

Responsibilities

Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization.
Support the development and improvement of analytical models to understand demand drivers and price elasticity, ensuring insights are practical, reliable, and business-relevant.
Assist in building tools and analytical processes that improve trade spend effectiveness and promotional performance, enabling smarter commercial and sales decisions.
Support analytics initiatives that enhance operational planning and execution, applying data-driven insights as the function expands into operations-focused areas.
Create clear visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.

Qualifications

Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
Strong experience working with large, complex datasets and proficiency in SQL and Python.
Experience applying statistical modeling and machine learning techniques, such as regression-based models, tree-based models and optimization approaches.
Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling.
Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset.
Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau.
Ability to communicate analytical concepts clearly to both technical and non-technical audiences.
Proactive mindset with the ability to work through ambiguity, take initiative, and suggest new analytical approaches or opportunities to improve business outcomes.

#CBSAS

Why join Coke Canada Bottling?

Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local.

Proudly independent, Canadian and family-owned, we make, distribute, merchandise and sell some of the most-loved beverages Canadians enjoy. Our more than 6,000 employees work coast-to-coast across over 50 sales and distribution centres and five manufacturing facilities.

Here, you can:

Influence meaningful people and business decisions.
Develop your capabilities through experience, coaching and learning resources.
Access a comprehensive benefits package supporting your physical, mental and financial well-being.
Participate in retirement and savings programs, paid vacation and floater days.
Give back through employee volunteer opportunities in the communities where we live and work.
Help advance our vision of becoming the World’s Greatest Bottler, Built by the Best People.

Bring your perspective

Coke Canada Bottling has been recognized as one of Canada’s Best Employers for Diversity. We are committed to fostering a diverse, equitable and inclusive workplace where everyone feels they belong.

Research shows that women-identifying candidates and members of other marginalized communities may hesitate to apply unless they meet every qualification. If this opportunity excites you, we encourage you to apply - even if your experience does not match every item listed. Your perspective could be exactly what we need. Unless otherwise specified, this posting is for an existing vacancy.

Our hiring process is human-driven and does not use AI tools to make screening, assessment or selection decisions. If you require accommodation or support during the recruitment process, please call 1-844-383-2653 or email interviewaccommodations@cokecanada.com.

Background clearance

All offers of employment with Coke Canada Bottling are conditional upon successful background clearance completed through our contracted third-party provider. Requirements vary by position and may include criminal, employment and education verification, as well as a driver’s abstract where applicable.

Please speak with the Talent Acquisition team if you have questions once you are contacted for further consideration.

Apply About employer

More about this job

Responsibilities

The Data Scientist will contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization. They will also collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 3 years of experience in data science or advanced analytics. Proficiency in SQL, Python, and data visualization tools like Power BI or Tableau is required.

Skills

Data science
Advanced analytics
Machine learning
SQL
Python
Statistical modeling
Demand forecasting
Pricing analysis
Elasticity modeling
Optimization
Power BI
Tableau
Data visualization
Scenario modeling
Communication

Benefits

Retirement and savings programs
Paid vacation
Floater days

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Advanced Analytics
Machine Learning
SQL
Python
Statistical Modeling
Demand Forecasting
Pricing Analysis
Elasticity Modeling
Optimization
Power BI
Tableau
Databricks
Azure
Scenario Modeling
Trade Spend Optimization
Commercial Strategy
Data Visualization
Regression Models
Tree-based Models

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