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Technical jobs in Canada

Data Scientist

Cogeco Connexion

Burlington
Hybrid
CAD 80,000 - 110,000
10 days ago
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Senior Data Scientist

ButcherBox

Toronto
Remote
CAD 243,000 - 258,000
10 days ago

Senior Software Engineer, Payroll

Pebl

Toronto
Hybrid
CAD 90,000 - 120,000
10 days ago

Project Engineer

USG

Southwestern Ontario
On-site
CAD 80,000 - 100,000
10 days ago

Technical Client Consultant

Moneris

Toronto
Hybrid
CAD 53,000 - 72,000
10 days ago
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Senior GenAI Program Lead - Cross-Functional Delivery

ODAIA

Toronto
On-site
CAD 90,000 - 120,000
10 days ago

Risk and Governance, Manager

PwC

Calgary
On-site
CAD 84,000 - 135,000
10 days ago

Product Support Engineer

Metso Outotec

Burlington
Hybrid
CAD 75,000 - 90,000
10 days ago
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Senior Manager, Research Strategy & Insights (Canadian Banking & Tangerine)

Scotiabank

Toronto
On-site
CAD 90,000 - 110,000
10 days ago

Construction Superintendent - Concrete

Lycopodium

Prince George
On-site
CAD 60,000 - 80,000
10 days ago

Manager, Tax

MNP

Kelowna
On-site
CAD 90,000 - 108,000
10 days ago

Relief Chief Duty Dispatcher

Flair Airlines

Edmonton
On-site
CAD 30,000 - 60,000
10 days ago

Claims Adjuster - Accident Benefits - Multiple Levels (Level 1-2)

Wawanesa Insurance

Calgary
Hybrid
CAD 57,000 - 84,000
10 days ago

Automotive Technician

Avis Budget Group

Toronto
On-site
CAD 60,000 - 80,000
10 days ago

Engineer in Training, Customer Connections

EPCOR

Edmonton
Hybrid
CAD 60,000 - 80,000
10 days ago

Engineer, Pyrometallurgical Processes

bba

Toronto
On-site
CAD 90,000 - 120,000
10 days ago

Digital product manager

Société Financière Manuvie

Toronto
Hybrid
CAD 92,000 - 143,000
10 days ago

Senior Solution Analyst

Wawanesa Insurance

Winnipeg
Hybrid
CAD 85,000 - 115,000
10 days ago

Specialist, Customer Connect

FCT

Oakville
Hybrid
CAD 57,000 - 70,000
10 days ago

Project Manager

Canadian Cancer Society

Halifax
Hybrid
CAD 64,000 - 96,000
10 days ago

Manager, IT Infrastructure & Cloud Operations

Mevotech

Mississauga
On-site
CAD 90,000 - 120,000
10 days ago

Junior critical facilities operator

BMO Financial Group

Barrie
On-site
CAD 50,000 - 93,000
10 days ago

Représentant(e) bilingue du service à la clientèle - Technique / Bilingual Customer Service Rep[...]

Moneris

Montreal (administrative region)
Hybrid
CAD 36,000 - 45,000
10 days ago

Représentant(e) bilingue du service à la clientèle - Technique / Bilingual Customer Service Rep[...]

Moneris

Quebec
Hybrid
CAD 36,000 - 45,000
10 days ago

Data Scientist

Cogeco Connexion

Montreal (administrative region)
Hybrid
CAD 80,000 - 110,000
10 days ago

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Technical Writer jobs
Data Scientist
Cogeco Connexion
Burlington
Hybrid
CAD 80,000 - 110,000
Full time
11 days ago

Job summary

A leading telecommunications provider seeks a Data Scientist to enhance customer acquisition and retention through advanced analytics and machine learning. The successful candidate will collaborate across teams to develop data strategies that drive commercial growth. This role requires a solid background in data science and familiarity with both SQL and Python. Additionally, fluency in English and French is necessary for effective communication across regions. The position offers a hybrid work model based in Burlington, Ontario.

Benefits

Flexible work arrangements
Career development opportunities
Attractive compensation packages
Discounted services for employees

Qualifications

  • 5+ years of experience in Data Science or 2+ years with graduate degree required.
  • Must demonstrate a track record of analytical projects covering the data science lifecycle.
  • Experience with cloud platforms is essential.

Responsibilities

  • Develop predictive modeling and machine learning solutions for business problems.
  • Execute exploratory data analysis and model development.
  • Communicate analytics approach to leadership and business partners.

Skills

Proficiency writing complex SQL queries
Advanced hands-on experience with the Python data science stack
Strong understanding of quantitative approaches
Analytical ability for complex analysis
Proficiency with data mining
Experience in pattern recognition
Excellent communication skills
Fluency in English and French

Education

Bachelor’s degree in Data Science or related field
Graduate degree in quantitative discipline

Tools

Google Cloud
AWS
Azure
Tableau
PowerBI
Job description

Our culture lifts you up—there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type: Regular Job Description

We are looking for a skilled and motivated Data Scientist to join Cogeco’s Data Science and Analytics practice. In this role, you will play a key part in developing and implementing data models and strategies to improve customer acquisition, retention, and overall business performance. You will work closely with cross-functional teams to identify opportunities, develop advanced analytics, and deploy machine learning models that directly impact commercial growth and customer experience.

The Data Scientist applies expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that inform business decisions, and incorporates them into analytical data products or tools with the support of a cross-functional team.

This role is hybrid. The incumbent can be based out of Quincy, MA, USA or Burlington, ON, CA or Montreal, QC, CAN or Trois-Rivières, QC, CAN

Responsibilities
  • As a Data Scientist at Cogeco, you will develop predictive modeling and machine learning solutions to complex business problems creating value for the business.
  • Transform data into insights that help to improve the value of the business
  • Execute exploratory data analysis, data preprocessing, model development, model deployment and monitoring.
  • Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts.
  • Plan and execute analytical experiments to help solve business problems
  • Propose solutions and strategies to business challenges
  • Continuously refine and improve models based on feedback and changing business needs.
  • Leverage advanced analytics techniques to develop deep knowledge of the customer experience, use data and analytics to optimize marketing campaigns, and develop strategies through insights to attract new customers and retain existing ones.
  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools.
  • Effectively communicate the analytics approach and data science lifecycle with leadership and business partners.
  • Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists
Qualifications
  • Bachelor’s degree required, MS or PhD preferred.
  • Bachelor’s in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience.
  • Must have proficiency writing complex SQL queries.
  • Advanced hands‑on experience with the Python data science stack.
  • Track record of analytical projects covering all stages of the data science lifecycle.
  • Strong understanding of quantitative approaches, their benefits, and their limitations.
  • Analytical ability required to gather data, perform transformation, perform complex analysis, solve both business and technical problems.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Experience in pattern recognition and predictive modeling.
  • Experience with cloud platforms like Google Cloud, AWS, or Azure.
  • Excellent interpersonal, communication, listening, and presentation skills.
  • Excellent problem‑solving skills and the ability to work independently as well as in a team.
  • Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.
  • Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.
  • Experience with data visualization tools preferred — Tableau, PowerBI, Looker, Plotly, etc.
Agile/Digital Experience
  • Strong understanding of Agile methodologies.
  • Openness to working in Agile environments with multiple stakeholders.
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
About You
  • Bias for action, with ability to deliver outstanding results through task prioritization and time management.
  • Demonstrated ability to efficiently learn and solve new business domains and problems.
  • Number sense; healthy skepticism around validity of data and its inherent biases.
  • Intellectual curiosity to understand and answer questions.
  • Intellectual humility to leverage the expertise of others.
You’ll benefit from:
  • Flexibility: Yes, we think that what you do matters. At work and at home.
  • Fun: We laugh a lot, it makes every day brighter.
  • Discounted services: We provide amazing services to our clients, and you’ll get them at home, because you deserve them.
  • Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.
  • Benefits: We’ve got you covered.
  • Career Evolution: Join us and we will give you the tools to achieve your career goals!
  • Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

Location :Burlington, ON Company :Cogeco Connexion Inc

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we’re doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well‑being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.

If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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