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Manager Data Science Analytics Jobs in Ontario (NOW HIRING)

You will work closely with business stakeholders, analysts, data scientists, and cross-functional ... A strong focus on data security and privacy is essential, ensuring sensitive information is managed ...

Within this space, the Identity Data Science portfolio plays an important role in advancing ... Analyze large-scale transaction, merchant, and related entity data to identify patterns, trends ...

Senior Data Scientist

Mississauga, ON · On-site

CA$156K - CA$290K/yr

Strong analytical and problem-solving skills, ability to manage multiple projects, and high ... in statistics and data science, and passionate about continuous improvement and learning.

Extract, clean, and analyze large volumes of interaction data from various sources to identify ... Collaborate closely with engineers, user experience researchers, and product managers

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

Showing results 41-60

Manager Data Science Analytics information

What do manager data science analytics do?

A manager of data science analytics oversees teams that analyze large datasets to extract insights, support decision-making, and develop predictive models. They coordinate projects, communicate findings to stakeholders, and often have expertise in statistical methods, programming tools like Python or R, and data visualization. Their role involves leadership, strategic planning, and ensuring the effective application of analytics to meet business goals.

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

How much do manager data science analytics managers make?

Manager data science analytics managers typically earn a median annual salary ranging from $110,000 to $150,000, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, statistical analysis, and leadership may offer higher compensation, often exceeding $160,000 annually.

What cities in Ontario are hiring for Manager Data Science Analytics jobs?

Cities in Ontario with the most Manager Data Science Analytics job openings:

IT Manager - Data & Analytics

Linde

Mississauga, ON • On-site

Full-time

Posted 18 days ago


Linde rating

8.1

Company rating: 8.1 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

32nd of 100 rated chemical manufacturers


Job description

  • In this role, you will design, build, and maintain scalable data pipelines using technologies such as Apache Spark and Microsoft Fabric, supporting the processing of large volumes of structured and unstructured data
  • You will integrate data from a variety of internal and external sources, ensuring accuracy, consistency, and reliability throughout the entire data lifecycle
  • A key part of the role is supporting the reporting and analytics needs of the Canadian business by delivering reliable, accessible, and high-quality data solutions
  • You will monitor and optimize ETL/ELT processes, continuously improving performance, scalability, and cost efficiency while identifying and resolving bottlenecks
  • The role includes promoting strong data quality and governance practices, including data cataloging, lineage, compliance, and adherence to organizational standards
  • You will work closely with business stakeholders, analysts, data scientists, and cross-functional IT teams to gather requirements and deliver solutions that support business objectives
  • Maintaining clear and accurate documentation for data pipelines, workflows, architectures, and processes is an important part of ensuring long-term success and sustainability
  • You will stay current on emerging data engineering technologies and best practices, identifying opportunities to enhance the organization's data platform and capabilities
  • Troubleshooting and resolving data pipeline, system, and infrastructure issues will be an ongoing responsibility to ensure a reliable and resilient data environment
  • A strong focus on data security and privacy is essential, ensuring sensitive information is managed in accordance with corporate policies and regulatory requirements

What Linde employees say

Pay

Benefits

Hours and flexibility

Workplace

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