Faculty of Applied Science & Engineering Department: Dept of Chemical Eng.& Applied Chemistry Campus: St. George (Downtown Toronto) Description: Artificial Intelligence (AI) and Data Informed ...
New
Faculty of Applied Science & Engineering Department: Dept of Chemical Eng.& Applied Chemistry Campus: St. George (Downtown Toronto) Description: Artificial Intelligence (AI) and Data Informed ...
New
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and feature engineering through experimentation, validation, deployment, and monitoring. These ...
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and feature engineering through experimentation, validation, deployment, and monitoring. These ...
Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
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Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
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Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Toronto, ON · Hybrid
Build a strong internal network across business, data science, engineering, platform, and governance partners, and share lessons learned to advance practice maturity. Required Qualifications:
Senior Data Scientist
Toronto, ON · Hybrid
Build a strong internal network across business, data science, engineering, platform, and governance partners, and share lessons learned to advance practice maturity. Required Qualifications:
Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...
Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...
Senior Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Kitchener, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Waterloo, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Ottawa, ON · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Director, Data Scientist
Toronto, ON · Hybrid
Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. Preferred: Prior experience in payments, financial services, or ...
Director, Data Scientist
Toronto, ON · Hybrid
Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. Preferred: Prior experience in payments, financial services, or ...
Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...
Quick apply
Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...
... engineering, data partitioning, and clustering. * Perform exploratory data analysis (EDA) to ... Collaborate with cross-functional teams to translate business problems into robust data science ...
... engineering, data partitioning, and clustering. * Perform exploratory data analysis (EDA) to ... Collaborate with cross-functional teams to translate business problems into robust data science ...
Data Scientist
Brampton, ON · On-site
... engineering, data partitioning, and clustering. * Perform exploratory data analysis (EDA) to ... Collaborate with cross-functional teams to translate business problems into robust data science ...
New
Quick apply
Data Scientist
Brampton, ON · On-site
... engineering, data partitioning, and clustering. * Perform exploratory data analysis (EDA) to ... Collaborate with cross-functional teams to translate business problems into robust data science ...
New
Chemical Engineering Data Science information
See Ontario salary details
$25.5K - $41K
18% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$41K - $56.5K
14% of jobs
$56.5K - $72K
12% of jobs
The median wage is $82.3K / yr.
$72K - $87.5K
10% of jobs
$87.5K - $103K
11% of jobs
$103K - $118.5K
7% of jobs
$127.5K is the 75th percentile. Wages above this are outliers.
$118.5K - $134K
6% of jobs
$134K - $149.5K
5% of jobs
$149.5K - $165K
6% of jobs
$165K - $180.5K
6% of jobs
$180.5K - $196K
4% of jobs
$25.5K
$99.7K
$196K
How much do chemical engineering data science jobs pay per year?
As of Aug 16, 2026, the average yearly pay for chemical engineering data science in Ontario is $99,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $139,000.00 per year, depending on experience, location, and employer.
What is a chemical engineering data science?
A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.
What does a chemical engineering data science do?
Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.
What are the key skills and qualifications needed to thrive in chemical engineering data science?
To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.
Can a chemical engineering data scientist become a data scientist?
A chemical engineering data scientist can transition to a general data scientist role by developing skills in programming, statistical analysis, and machine learning. Their background in chemical processes and data analysis can be valuable, but they may need to gain experience with broader data tools and techniques used across industries. Certifications or training in data science are often helpful for this career shift.
What are the most commonly searched types of Chemical Engineering Data Science jobs in Ontario?
The most popular types of Chemical Engineering Data Science jobs in Ontario are:
What are popular job titles related to Chemical Engineering Data Science jobs in Ontario?
For Chemical Engineering Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Chemical Engineering Data Science jobs in Ontario look for?
The top searched job categories for Chemical Engineering Data Science jobs in Ontario are:
Full-time
PTO
Posted 2 days ago
New
Job description
Date Posted: 08/14/2026
Req ID: 49851
Faculty/Division: Faculty of Applied Science & Engineering
Department: Dept of Chemical Eng.& Applied Chemistry
Campus: St. George (Downtown Toronto)
Description: Artificial Intelligence (AI) and Data Informed Decision Making (DIDM) rely heavily on data and the use of AI and DIDM is necessary in order to maintain competitiveness in modern manufacturing. Industry benchmarks indicate that 70-80% of the effort in implementing AI and DIDM is associated with the task of acquiring pertinent data. Organizing and thereby making industrial data easier to acquire would help mitigate the efforts involved.
This course introduces the current tools and concepts used to address this problem. Students will learn about Industry standards, approaches, and data transport protocols. Working both in team and individual environments, these concepts will be applied to real world scenarios.
Minimum Qualifications: A BASc degree in Chemical Engineering, five years of experience in data organization
Preferred Qualifications: 10 years of experience in data organization
Duties: Developing a course syllabus and course materials (e.g., assignments, tests, exams). Instructing / teaching, and testing. Conducting office hours. Coordinating tutorials with TA assistance. Marking / grading assessments (quizzes, tests, assignments, exams). Providing constructive feedback to students.
Closing Date: 08/19/2026 11:59PM ET
Employee Group: CUPE 3902 (Unit 3)
Appointment Type: Sessional Lecuturer
Schedule: Lecture Time: September 1, 2026- December 31, 2026 Monday 10:00 AM - 1:00 PM September
Pay Scale Group & Hiring Zone:
CUPE minimum salary rates for a half course (HCE), inclusive of vacation pay, are: Sessional Lecturer 1 - $ 9,997.48; Sessional Lecturer 1 Long Term - $ 10,699.22; Sessional Lecturer 2 - $10,699.22; Sessional Lecturer 2 Long Term - $10,953.96; Sessional Lecturer 3 - $10,953.96 and Sessional Lecturer 3 Long Term - $11,228.90. Should rates stipulated in the Collective Agreement vary from rates stated in this posting, the rates stated in the Collective Agreement shall prevail.
Job Category: Sessional Lecuturer
Application Procedure: Applicants should submit:
- Curriculum Vitae
- Unit-3-Application
Please submit applications by email to ugradassist.chemeng@utoronto.ca with the following subject line: CHE1149H Sessional Lecture Application.
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.