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Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, Ontario
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 3 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 3 months ago
AS
Associate Software Engineer / Software Engineer
Applied Systems Canada
Toronto, Ontario
- Full-time
…built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable; we’re creating a place where…
Added 3 months ago
NE
Junior Settlements Data Analyst
Nexus Energy Inc.
Toronto, Ontario
- $60,000 to $70,000 CAD / year
- Full-time
Strong working knowledge of SQL for data extraction, querying, and analysis; experience with Python, VBA, Power BI, and database systems is considered an asset. Experience supporting…
Added 3 months ago
KS
Full Stack Developer
Kumaran Systems
Toronto, Ontario
- Full-time
Seeking a talented and motivated Full Stack Developer to join our technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web…
Added 2 months ago
TA
Senior Data Scientist - Operation Research
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
Added 1 month ago
M
Senior Data Engineer
Morningstar
Toronto, ON
- Full-time
Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way.
Added 2 months ago
VC
Business Advisor, Data and Analytics
Vancouver Coastal Health
Vancouver, BC
- $38.9 to $55.92 CAD / hour
- Full-time
Advanced proficiency in analytical tools and software (e.g., SQL, Python, R, Tableau, Power BI).
Added 4 months ago
C
Senior Quality Engineer (Python, SQL)
Cognizant
Halifax, Nova Scotia
- $70,000 to $90,000 CAD / year
- Full-time
As a Senior Quality Engineer, you will lead quality assurance initiatives and collaborate with cross-functional technology teams to ensure the delivery of scalable, high-performance…
Added 3 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization
Added 3 months ago
F
Operations Automation Engineer
Forma.ai
Toronto, Ontario
- $100,000 to $120,000 CAD / year
- Full-time
…help our Customer Operations and Customer Delivery teams scale with greater speed, consistency, and…
Added 2 months ago
Senior Data Scientist
Wenco (a Hitachi Construction Machinery subsidiary)
Richmond, BC
Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and databases (SQL, NoSQL).
Added 2 months ago
TG
Business Systems Analyst
TMX Group
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Technical Stack: Proficiency in SQL and Python. Hands-on experience with modern data environments including Snowflake, AWS, and Spark.
Added 2 months ago
HP
Software Developer - Data and AI (12 month contract)
Hammond Power Solutions
Guelph, ON
- Full-time
…transformer technology. We currently have an opening for a Software Developer, Data and AI– 12 month contract, come grow with…
Added 2 months ago
G
Analyste de données / Data Scientist
Genetec
Remote, Canada
- Full-time
- Remote
Maîtrise avancée de Python (Pandas, NumPy, Scikit-learn) et expérience dans l’utilisation de bibliothèques d’apprentissage automatique
Added 2 months ago
CP
Application Support Analyst
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
Experience with scripting or programming languages (e.g., Python, PowerShell, SQL) to support automation, diagnostics, and operational efficiency.
Added 2 months ago
C
Senior Business Intelligence Developer
CIRA
Ottawa, ON
- Full-time
By working with the CIRA registry team, you’ll play a part in advancing the CIRA Registry Platform, which supports a wide range of domains globally. Help us drive innovation and maintain…
Added 3 months ago
B
Senior Data Analyst, Ethics and Compliance
Bombardier
Dorval, Quebec
- Full-time
You have familiarity with Databricks and programming languages such as Python or R; this would be considered an asset.
Added 2 months ago
C
Application Support Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
…ideally within financial services or data-intensive environments, with hands-on experience across data pipelines, reporting platforms, or client-facing financial…
Added 2 months ago
M
Principal Data Scientist
Mastercard
Toronto, ON
- Full-time
Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
Added 2 months ago
Senior Software Developer
Bentley Systems
Vancouver, BC · Toronto, ON
A Senior Software Developer, Subsurface Information Management is responsible for the end-to-end design, development, and release of high-performance platform services and APIs that enable…
Added 3 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling.
Added 1 month ago
Senior Manager, Unsecured Lending Models
Scotiabank
Toronto, ON
Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
Added 1 month ago
HB
Trading Production Support Engineer - Trading Firm - $80,000-$160,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $80,000 to $160,000 CAD / year
- Full-time
Skills: Linux, Python, SQL, Front Office, FIX, Finance
Added 4 months ago
WI
Actuarial Expert - Pricing Modelling
Wawanesa Insurance
Montreal, Quebec
- Other
Persuasive with the conclusions from their work. Often presents their work to Director + level. Fully proficient with Excel, SQL, R, Python, or other specialized programs.

Wenco (a Hitachi Construction Machinery subsidiary)

Senior Data Scientist

Richmond, BC, Canada

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

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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.

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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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