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Added 4 hours ago
SE
Manager, MX Sales Platform
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 4 hours ago
S
Transversal Finance Lead
Sanofi
Toronto, ON
- Full-time
Act as CFO Canada deputy for transversal financial matters; prepare and present consolidated Canada financials and analytics to senior leadership including Country Council
Added 5 hours ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 5 hours ago
SP
Senior Director, Controllership & Operations Transformation
Salesforce Partner Canada
Toronto, ON
- Full-time
Forward-Thinking - Demonstrated passion for exploring and implementing emerging technologies, specifically AI and machine learning, within the finance and accounting domain.
Added 14 hours ago
QP
Manager, AI Delivery
QuadReal Property Group
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…workflows connected to our core platforms. The team is small and senior, spanning AI architecture, engineering, business analysis, program management and business engagement, and it moves…
Added 14 hours ago
I
IMPONEXPO BUILDER COHORT
ImpoNexpo
Toronto, ON
- Full-time
You may be a senior engineer, AI researcher, product designer, technical founder, data specialist, research engineer, open-source contributor or an unusually capable emerging talent.
Added 14 hours ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Manager, Software Engineering
Added 14 hours ago
H-
Sales Manager (AI Solutions)
HeitechSoft - AI Business Solutions
Cambridge, ON
- Full-time
…Opportunity** We are currently hiring a high-performance Sales Manager to lead our revenue generation efforts and fuel our next phase of expansion. This role is for a strategic closer and a…
Added 16 hours ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
The Senior Data Analyst I, Product within Mistplay's Data department will play a crucial role in enhancing Mistplay's business performance through insightful analysis and driving analytics…
Added 18 hours ago
TR
Principal Product Manager, Content Transformation
Thomson Reuters
Toronto, ON
- Full-time
As Thomson Reuters' most senior individual contributor product role, the Principal Product Manager is expected to exercise significant autonomy, influence senior leaders, navigate…
Added 21 hours ago
PS
Senior Manager Cybersecurity - Governance Risk and Compliance
Professional Staffing
Toronto, ON · Greater Toronto Area, Canada
- $140,000 to $160,000 CAD / year
- Full-time
We are seeking an experienced Senior Manager, Cybersecurity – Governance, Risk & Compliance (GRC) to provide strategic leadership across the organization's cybersecurity program.
Added 22 hours ago
SE
Manager, MX Sales Platform
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 23 hours ago
ED
Senior Data Platform Administrator - EN 533
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Reporting to the Manager - Data Management Platforms, the Senior Data Platform Administrator plays a critical role in shaping the technical direction of EDC's data ecosystem while also…
Added 1 day ago
O
Senior Product Manager
Oracle
Kitchener, ON
- $81,700 to $131,700 CAD / year
- Full-time
–Works with senior team members to identify potential solutions tied to OKRs and Key Performance Indicators (KPIs).
Added 1 day ago
R
RCI-ROCG-43306 Technical Product Manager (Computer Vision/AI/ML/Image Analysis) (Healthcare/Medical Device/Digital Health/Life Science)
Rangam
Mississauga, ON
- $64 to $66 CAD / hour
- Contract
Added 1 day ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Added 1 day ago
ZT
Applications Engineer Senior
Zebra Technologies
Montreal, QC
- Full-time
more senior colleagues, this person contributes to technical analyses, planning, and design efforts that
Added 1 day ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Experience building and deploying machine learning models to production, focusing on modular, scalable, and maintainable models.
Added 1 day ago
T
Senior Manager, Data Science
TD
Toronto, ON
- Full-time
The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business…
Added 1 day ago
HH
Analytics Data Specialist
Home Hardware Stores Limited
St. Jacobs, ON
- Full-time
Experience with data mining, predictive analytics, machine learning, and Agile methodologies (Scrum, Kanban) is an asset.
Added 1 day ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is the cloud platform engineering team responsible for building and operating the infrastructure that enables…
Added 1 day ago
RB
Principal Product Manager
Royal Bank of Canada
Toronto, ON
- Full-time
…cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical…
Added 1 day ago
S
Product Manager - Rare Diseases
Sanofi
Toronto, ON
- Full-time
Position Title: Product Manager Rare Diseases
Added 1 day ago
Senior Product Manager - Developer Productivity
Okta
Toronto, ON
We are looking for a Senior Product Manager to own developer productivity as a product across Okta's development lifecycle - AI-native and traditional tooling alike. You will start…
Added 1 day ago
FC
Senior Workday Functional Specialist
Fanshawe College
London, ON
- Full-time
Reporting to the Manager, Workday Human Capital Management (HCM), the Senior Workday Functional Specialist - HCM provides specialized functional and technical expertise in the support,…

Tenova

R&D Engineer- Data Scientist

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 2, 2026
Experience: 3-5 years of experience using Python for data analysis, algorithm development, and machine learning model development.
Posting language: English
Posted: Oct 3, 2026

Original job description

Job description:

Job Summary
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and simulation.

This role applies statistical analysis, data visualization, machine learning, and data processing techniques to identify patterns, interpret results, improve data quality, and develop data-driven solutions for development and production applications.
The R&D Engineer - Data Science must possess a degree or diploma in a related field and a minimum of three years of related experience.

Job Duties
Predictive Modeling and Machine Learning
* Research, develop, evaluate, tune, and deploy predictive and machine learning models for manufacturing process control, optimization, and simulation.
* Build and maintain end-to-end machine learning pipelines, from data ingestion and validation through deployment and inference.
* Monitor and analyze model and system performance, identify sources of prediction error, and tune models and integrated systems to improve accuracy and reliability in development and production applications.
* Investigate, recommend and integrate appropriate machine learning technologies into the company's production platforms.

Data Analysis and Data Management
* Perform statistical analysis, data visualization, and interpretation of results to identify trends, patterns, and improvement opportunities.
* Collect, review, clean, and validate operational and test data for use in modeling, analytics and reporting.
* Develop and maintain data processing, cleaning, and validation routines to ensure data quality, consistency, and usability.
* Troubleshoot data collection and data quality issues across development and production environments.

Tools and Reporting
* Develop reusable tools, procedures, and workflows to support deployment, monitoring, operations, and process automation.
* Participate in the development and maintenance of dashboards that summarize key performance indicators (KPIs) for data collection equipment and model health.
* Prepare technical documentation, progress reports, analysis summaries, and internal or external project updates.

Improvement and Innovation
* Investigate new applications of data science towards the improvement of process efficiency and plant automation.
* Identify opportunities for improved data acquisition and expanded use of existing data.
* Support the development and improvement of project standards, procedures, documentation, and best practices.

Technical Expertise and Collaboration
* Stay current with relevant technologies, tools, industry trends, and best practices in data science, machine learning, and process automation.
* Provide technical guidance to team members, internal stakeholders, and customers.
* Present technical findings, research outcomes, and project results at meetings, workshops, conferences, or client sessions as required.
* Support recruitment, onboarding, and training of new members of the Project Operations team as needed.

Client and Project Support
* Build and maintain strong working relationships with internal teams, external clients, and project stakeholders.
* Collaborate with senior engineers and project managers to support timely, cost-effective project execution.
* Communicate regularly with clients, provide updates and recommendations, and escalate risks, concerns, or major issues when required.
* Participate in onsite engineering visits to customer locations, including internationaltravel, to support project development and implementation.

Job Requirements
* Master's or PhD degree in Electrical, Computer Engineering or a related field
* Strong programming skills in Python, with solid understanding of data structures, algorithms, and software development principles.
* Strong understanding of supervised machine learning methods for regression and classification, including their practical advantages, limitations, and appropriate use cases.
* 3-5 years of experience using Python for data analysis, algorithm development, and machine learning model development.
* Hands-on experience with common data science, machine learning, and data visualization libraries, such as pandas, NumPy, scikit-learn, PyTorch, Matplotlib, Seaborn, or equivalent tools.
* Experience designing and implementing end-to-end machine learning solutions, including data ingestion, preprocessing, validation, training, evaluation, deployment, and inference.
* Strong understanding of data pipeline stages and practical experience developing data processing and cleaning routines.
* Experience with time-series analysis, forecasting, and regression-based modeling.
* Experience with spectral analysis and strong understanding of Fourier Transform concepts.
* Knowledge of statistical techniques and concepts, including regression, probability distributions, statistical testing, and proper application of statistical methods.
* Experience with object-oriented programming and application development
* Experience with C#, C++ or VB.net is an asset

* Willingness to travel internationally. Must be able to travel to foreign countries including the United States without restrictions.

Competencies
* Adaptability - Adapts and responds to changing conditions, priorities, technologies, and requirements.
* Attention to Detail - Attends to details and pursues quality in the accomplishment of tasks, regardless of the volume of duties encountered.
* Communication - Expresses and transmits information with consistency and clarity.
* Continuous Improvement - Strives to improve job responsibilities through developing skills and increasing knowledge.
* Judgement - Ability to use sound reasoning when faced with various issues. Has the ability to make quick, effective decisions.
* Organization - Able to create or maintain processes to ensure all relevant information or tools are easily accessible.
* Ownership - Takes pride in the work that is accomplished, and understands the function of tasks within the larger picture of the organization. Ensures deadlines are met and work is completed properly.
* Problem Solving - Able to break down a situation into smaller pieces to identify key issues and figure out cause and effect relationships in order to solve. Use logic and analytical methods to come to realistic solution.
* Resourceful - Responds to difficult situations or workplace requirements by using the available tools and information to support decisions and solutions.
* Results Orientation - Able to focus on desired outcomes, and the means by which they are achieved by meeting and or exceeding standards based on past performance, goals, and objectives, as well as the performance and/or achievements of others.
* Time Management - Balances a myriad of tasks; prioritizes duties as needed.
* Commitment to Health and Safety - Works in compliance with all applicable health and safety legislation and established policies and procedures.
* Proficiency in MATLAB for data analysis, modeling, simulation, or algorithm development
* Experience visualizing, manipulating, and analyzing large datasets
* Ability to effectively communicate both verbally and in writing
* High flexibility with strong interpersonal skills that allow one to work effectively in a diverse environment
* Ability to work individually as well as part of a team
* Ability to prioritize and manage conflicting demands
* Demonstrated time management skills
* High level of integrity and work ethic

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More about this job

Responsibilities

Develop, evaluate, deploy, and monitor machine learning models and end-to-end data pipelines for manufacturing process control, optimization, and simulation. Analyze and improve operational and test data, create tools and dashboards, document findings, and collaborate with project teams and clients on implementation and process improvement.

Requirements

Requires a master's or PhD in Electrical Engineering, Computer Engineering, or a related field, along with 3–5 years of Python experience in data analysis, algorithm development, and machine learning. Candidates should have experience with statistical methods, time-series and spectral analysis, Fourier transforms, data pipelines, and machine learning libraries; international travel is required.

Skills

Python
Machine Learning
Predictive Modeling
Statistical Analysis
Data Visualization
Data Processing
Machine Learning Pipelines
Time-Series Analysis
Forecasting
Spectral Analysis
Fourier Transform
MATLAB
C#
C++
Object-Oriented Programming
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Python
MATLAB
Pandas
NumPy
Scikit-Learn
PyTorch
Matplotlib
Seaborn
C#
C++
VB.NET
Machine Learning
Predictive Modeling
Regression
Classification
Time-Series Analysis
Forecasting
Spectral Analysis
Fourier Transform
Statistical Testing
Data Pipelines
Data Ingestion
Data Validation
Data Cleaning
Data Visualization
Manufacturing Process Control
Process Optimization
Process Automation
Simulation
KPI Dashboards

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