Senior Data Scientist – Mining & Industrial Analytics

Cascadia Scientific Inc.; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Job summary

Cascadia Scientific Inc. is seeking a Senior Data Scientist in Vancouver to develop advanced analytics and ML solutions for mining and heavy equipment.

You will work with large volumes of sensor, GPS, fuel, CAN bus, and telemetry data to improve productivity and operations. The role goes beyond traditional data science; you will translate insights into actionable recommendations, build production-grade data pipelines, and collaborate with engineers, product, and field teams to deploy analytics

Qualifications

• 5+ years of relevant experience in data science, with mining/industrial analytics or mining technology background.
• Advanced Python (Pandas, NumPy, Scikit-learn, SciPy) required.
• Strong SQL and experience with large datasets.
• Solid foundation in statistics, regression, and ML.
• Experience with sensor/industrial data and physical systems understanding.
• Strong data visualization and analytical communication skills.
• Experience developing maintainable, scalable analytical code beyond notebooks.
• Ability to independently solve ambiguous, real-world problems.

Responsibilities

• Develop and deploy ML, statistical, and physics-informed models.
• Analyze telemetry, GPS/GNSS, fuel, CAN bus, and sensor data at scale.
• Develop event detection, anomaly detection, clustering, regression, and geospatial analytics.
• Investigate sensor failures, calibration issues, missing data, and telemetry gaps.
• Build scalable, production-ready Python data pipelines using SQL/Postgres, APIs, and cloud infrastructure.
• Collaborate with software, engineering, product, customer success, and field teams to productionize analytics.
• Communicate complex findings clearly to technical, operational, and customer audiences.
• Translate data-driven insights into measurable business value for mining operations.

Skills

Python

Pandas

NumPy

Scikit-learn

SciPy

SQL

Statistics

Machine Learning

Data Visualization

Communication

Production Code

Sensor Data

Geospatial Data

Tools

Git

Job description

Cascadia Scientific is looking for a Senior Data Scientist. You’ll develop advanced analytics and machine-learning solutions for mining and heavy-equipment applications, working with large volumes of sensor, GPS, fuel, CAN bus, and operational telemetry to improve equipment productivity, fuel efficiency, and mining operations.

This role goes beyond traditional data science. You’ll investigate real-world data quality issues, understand the physical systems behind the data, develop robust analytical methodologies and production-ready algorithms, and translate findings into actionable recommendations for mining customers.

What You’ll Do

• Develop and deploy machine-learning, statistical, and physics-informed models.
• Analyze large-scale equipment telemetry, GPS/GNSS, fuel, CAN bus, and sensor data.
• Develop event detection, anomaly detection, clustering, regression, and geospatial analytics.
• Investigate sensor failures, calibration issues, missing data, and telemetry gaps.
• Build scalable, production-ready Python data pipelines using SQL/Postgres, APIs, and cloud infrastructure.
• Work with software, engineering, product, customer success, and field teams to move analytical solutions into production.
• Communicate complex findings clearly to technical, operational, and customer audiences.
• Translate data-driven insights into measurable business value for mining operations.

What You Bring

Required:

• 5+ years of relevant experience in data science. Desired engineering/industrial analytics, or mining technology background.
• Advanced Python (Pandas, NumPy, Scikit-learn, SciPy).
• Strong SQL and experience working with large datasets.
• Strong foundation in statistics, regression, and machine learning.
• Experience working with sensor or industrial data and understanding the physical systems behind measurements.
• Strong data visualization and analytical communication skills.
• Experience developing maintainable, scalable analytical code beyond notebooks.
• Ability to independently solve ambiguous, real-world problems.

Strong Assets:

• Mining or heavy mobile equipment experience.
• Geospatial analytics and GPS/GNSS trajectory data.
• Event/anomaly detection using multivariate sensor data.
• APIs, cloud infrastructure, and production ML deployment.
• Git and collaborative software development.
• Mining, Mechanical, Physics, or other quantitative engineering background.
• Portuguese or Spanish in addition to English.

The Ideal Candidate

We’re looking for someone who can connect the full chain:

You’re comfortable questioning whether a pattern represents a real operational insight or simply a sensor artifact—and whether an analytical solution will remain reliable across different equipment and mine sites.