IT & data jobs in Canada

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Added 22 days ago
DW
Application Support Analyst
Durabuilt Windows & Doors
AB
- Contract
Added 22 days ago
JG
GCP Data Engineer
J&M Group
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 22 days ago
Applied Machine Learning Scientist
Velan Inc.
Montreal, QC
…automation across the organization. Working at the intersection of data science, software engineering, and MLOps, you will transform prototypes into reliable production systems, ensure…
Added 22 days ago
A
Cloud Data Engineer (LOCAL to Quebec)
Apptad
Montreal, QC
- Contract
Job Title: Cloud Data Engineer (LOCAL to Quebec)
Added 22 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 22 days ago
Software Development Manager - AWS Messaging Services, Amazon Simple Notification Service, AWS
Amazon
Vancouver, BC
Added 22 days ago
Software Development Manager, Elastic Container Service
Amazon
Vancouver, BC
Own the design, delivery, and operation of ECS control plane or data plane components. This includes scheduling, orchestration, agent and runtime, service discovery and networking…
Added 22 days ago
E
Technical Business Analyst
emergiTEL
Toronto, ON
- Contract
Work Model: Hybrid, potentially 2 days per week in the office
Added 22 days ago
S
Data Analyst, Power BI
SYSTRA
Montreal, QC
- Full-time
Manage, structure, analyze, and standardize project data to support business and user requirements.
Added 22 days ago
IG
Data Analyst
Insight Global
Langley (District), BC · Langley, BC
- Contract
Insight Global is looking for a Data Analyst to help modernize their BI and analytics environment, moving from a legacy Microsoft ecosystem toward a scalable architecture leveraging…
Added 22 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 22 days ago
P
Procurement & Supply Chain Analyst / Supply Chain Data Analyst (PSCA011)
Potenco
Canada
- Full-time
Procurement & Supply Chain Analyst / Supply Chain Data Analyst
Added 22 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
We are a small data science research team with a mandate to build future-ready capabilities and strategic differentiation for PartnerRe’s Life & Health business globally, working on a…
Added 22 days ago
SD
Cloud Data Engineer
Symbiotic Digital
ON · Central Toronto (Summerhill West / Rathnelly / South Hill / Forest Hill SE / Deer Park), Ontario
- Contract
We are seeking an experienced Cloud Data Engineer to design,
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
AI
GCP Senior Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineering Lead to lead a team of 10 engineers and design, develop, and optimize scalable data engineering solutions on Google Cloud Platform…
Added 22 days ago
UT
ServiceNow system Administrator #26-24594
US Tech Solutions
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Added 22 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
Work Model: Onsite – 4 Days per Week
Added 22 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.
Added 22 days ago
BS
Systems Administrator
BayOne Solutions
Toronto, ON
- $70 to $75 CAD / hour
- Contract
Support platform security through identity management, access controls, data protection policies, and security best practices.
Added 22 days ago
Data Engineer
Scotiabank
Toronto, ON
The Data Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards,…
Added 22 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 22 days ago
BI
Business System Analyst-Banking
BURGEON IT SERVICES
Toronto, ON
- Contract
Provide reliable and timely data feeds to downstream systems, including:
Added 22 days ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
- Full-time
The Analytics team is seeking a passionate, inquisitive, detail-oriented, and customer-focused Senior Data Engineer to join our growing team. The successful candidate will be responsible…
Added 22 days ago
T
Data Engineer
TechDoQuest
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.

Wenco (a Hitachi Construction Machinery subsidiary)

Senior Data Scientist

Richmond, BC, Canada

Base salary of $144,000 - $165,000, commensurate with experience and qualifications.

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Pay: Base salary of $144,000 - $165,000, commensurate with experience and qualifications.
Posting language: English
Posted: Jul 31, 2026

Original job description

Wenco International Mining Systems (www.wencomine.com), a subsidiary of Hitachi Construction Machinery (HCM), is a leading innovator in mining technology, dedicated to enhancing the efficiency and safety of mining operations worldwide. Our cutting-edge software solutions interface seamlessly with mining equipment, machine guidance systems, and fleet management platforms to deliver actionable insights and drive operational excellence.

We are seeking a skilled and analytical Data Scientist to join our dynamic team. In this role, you will analyze and interpret complex data sets gathered from our software interfacing with mining equipment, machine guidance systems, and fleet management software. Your insights will play a crucial role in optimizing mining operations, improving equipment performance, and enhancing fleet management strategies.

Key Responsibilities:

Strategy: Develop and execute the data science strategy aligned with the company's goals and objectives in the mining technology sector. Collaborate with senior leadership to identify business needs and translate them into data-driven solutions.
Project Management: Oversee multiple data science projects from conception to deployment, ensuring timely delivery and adherence to quality standards.
Data Analysis & Interpretation: Analyze large and complex datasets from various sources, including sensors, equipment logs, and operational data, to extract meaningful insights and trends. Apply signal processing techniques such as filtering, sensor fusion, Fourier transforms, and wavelet analysis to extract meaningful insights and patterns from time series and sensor signals, optimize real-time system performance.
Model Design & Development:
- Design and deploy scalable models for predictive maintenance, focusing on anomaly detection and remaining useful life (RUL) estimation.
- Develop predictive and prescriptive models to forecast equipment maintenance needs, optimize fleet operations, and improve machine guidance accuracy.
- Lead the development and implementation of advanced time series models for high-dimensional sensor data.
- Enable model transparency for users interpretation, decision making and story telling.
Data Visualization: Create intuitive and impactful data visualizations and dashboards to communicate findings to stakeholders and support data-driven decision-making.
Collaboration & Communication:
- Work closely with cross-functional teams, including machine learning engineers, software developers, and mining operations experts, to understand data requirements and deliver actionable solutions.
- Develop, maintain, and coordinate research plans that enable development teams to schedule the commercial implementation of data models developed through your research.
- Communicate complex technical concepts and insights to non-technical stakeholders through clear and compelling data visualizations and presentations.
Data Management, Strategy & Governance:
- Ensure data quality, integrity, and security by implementing best practices in data collection, cleaning, and storage.
- Implement data governance policies and procedures to maintain compliance with industry standards and regulations.
Research & Innovation: Stay updated with the latest data science techniques and mining industry trends to incorporate innovative approaches into our solutions.
Performance Monitoring: Monitor and evaluate the effectiveness of implemented models and analyses, making necessary adjustments to improve accuracy and relevance.
Documentation & Sharing: Maintain thorough documentation of data processes, models, and analyses to ensure transparency and reproducibility. Promote “data science” to the rest of the organization through knowledge sharing.

Qualifications:

Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.
Experience:
- Proven experience as a Data Scientist or similar role, preferably within the mining or heavy industries sector.
- Experience with data science frameworks and libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Proficiency in programming languages such as Python or R.
Technical Skills:
- Strong understanding of statistical analysis, machine learning algorithms (including supervised and unsupervised techniques), and data preprocessing techniques.
- Experience with tools / techniques for enable users by making machine learning outputs to be user understandable and transparent through techniques such as SHAP values.
- Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and databases (SQL, NoSQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI, D3.js).
- Knowledge of data warehousing, ETL processes, and data integration from IoT devices and sensors.
- Proficiency in using version control systems (e.g., Git) and collaborative development tools.
Eligibility:
- Must be eligible to work in Australia or Canada.
Travel:
- Availability for up to 10% travel.

Preferred Qualifications:

Experience with mining equipment data and understanding of mining operations.
Knowledge of machine guidance systems and fleet management software.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying data science solutions in cloud environments.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Base salary of $144,000 - $165,000, commensurate with experience and qualifications.

Join us at Wenco and contribute to pioneering advancements in mining technology through innovative data science solutions!

Wenco advances the efficiency and safety of the world’s surface mining equipment through our fleet management systems. We are committed to providing a stable yet exciting work place environment for individual employees to build and grow their career with the Company.

Wenco is an Equal Opportunity Employer.

Disclaimer

The information in this description has been designed to indicate the general nature and level of work performed by employees. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. It is not intended as an employment contract. Job descriptions are subject to change, which may not necessarily affect compensation.
___

As our team experiences high volumes of applications, only shortlisted candidates will be contacted. To be considered, please ensure a resume is attached.

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

The Senior Data Scientist will develop and execute data science strategies to optimize mining operations and equipment performance. They will oversee end-to-end data projects, from analyzing complex sensor datasets to deploying predictive maintenance models.

Requirements

Candidates must hold at least a Bachelor's degree in a quantitative field and possess proven experience in data science, preferably within the mining or heavy industry sectors. Proficiency in Python or R, machine learning frameworks, and big data technologies is required, along with eligibility to work in Australia or Canada.

Skills

Python
R
Machine Learning
Statistical Analysis
Data Visualization
Predictive Maintenance
Signal Processing
Time Series Analysis
SQL
NoSQL
Hadoop
Spark
Snowflake
Tableau
Power BI
Git

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Mining Technology
Predictive Maintenance
Anomaly Detection
Sensor Fusion
Fourier Transforms
Wavelet Analysis
Machine Guidance
Fleet Management
IoT
ETL
Data Governance
SHAP Values
Cloud Platforms
AWS
Azure
Google Cloud
TensorFlow
PyTorch
Pandas
NumPy
Scikit-learn
D3.js
Data Warehousing
Version Control

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IT & data jobs in Canada

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