Company Overview
Cascadia Scientific empowers mining operations with independent, precision-grounded energy insights that enable safer, smarter, and more sustainable decisions. Our technology helps mining companies understand the true drivers of energy use and waste, improve cost per tonne, strengthen fleet performance, and turn complex operational data into actionable intelligence.
We’re a tight-knit, values-driven team committed to professionalism, empathy, innovation, and practical problem-solving. We work collaboratively on high-impact challenges, and our work directly influences real-world mining operations and the future of sustainable, efficient mining.
Cascadia Scientific is a fast-growing scale-up with approximately 50 employees and a global customer base. This is a contract position with the potential to become a longer-term engagement, making it an excellent opportunity for a Senior Data Scientist who enjoys working on meaningful, real-world problems and wants the opportunity to make a direct impact.
The successful candidate will be comfortable working independently and at a high level in a fast-paced scale-up environment, taking ownership of projects and delivering results with limited oversight. This role requires someone who can thrive in a collaborative but lean environment, where initiative, adaptability, and strong problem-solving skills are highly valued.
Job Overview
We’re looking for a Senior Data Scientist to build advanced analytics, machine learning, and data-driven solutions for mining and heavy-equipment applications. The role blends data science with real engineering and operational understanding: you’ll work with large volumes of equipment telemetry — sensor, GPS, fuel, and operational data — to develop algorithms that improve equipment productivity, fuel efficiency, operator performance, and mining operations.
This is a role for someone who moves beyond traditional data analysis: understanding the physical system behind the data, investigating sensor and data-quality issues, developing analytical methodologies, building production-ready algorithms, and translating results into practical recommendations for mining operations. We’re especially interested in candidates with a Mining, Mechanical, Physics, or other quantitative engineering background, and give preference to those with direct experience in mining or heavy mobile equipment
Key Responsibilities
- Design, develop, validate, and deploy machine-learning, statistical, and physics-informed models for mining and heavy-equipment applications.
- Analyze large-scale telemetry — CAN bus, GPS/GNSS, fuel-flow meters, engine and equipment sensors, and vehicle dynamics — including spatial and geospatial ML on GPS trajectories to evaluate haul roads, operating conditions, equipment performance, and fuel efficiency.
- Build methodologies to detect and characterize operational events (equipment states, refueling, abnormal sensor behavior, changing conditions) and to identify haul-road segments, operational hotspots, and areas of abnormal fuel consumption.
- Apply supervised and unsupervised techniques — regression, clustering, nearest-neighbor methods, anomaly detection, feature engineering, and statistical modeling.
- Investigate complex data-quality problems (sensor failures, calibration errors, timestamp inconsistencies, missing data, telemetry gaps) and build robust preprocessing and validation methods that hold up under real-world conditions.
- Design and maintain production-ready Python pipelines for processing large telemetry volumes, working with SQL/Postgres, APIs, and cloud infrastructure.
- Partner with software developers to move analytical prototypes into production systems and live, customer-facing applications.
- Work with operations, engineering, product, customer success, and field-service teams to turn operational problems into analytical solutions — and communicate directly with customers to validate methods and support deployment.
- Translate complex results into clear conclusions, visualizations, and actionable recommendations for technical and non-technical stakeholders, and help shape new analytical products where data science can create measurable value.
Skills:
- Advanced Python for data science (Pandas, NumPy, Scikit-learn, SciPy).
- Strong SQL and experience with large relational datasets.
- Solid grounding in statistics, regression, and machine learning.
- Experience analyzing sensor data, with a strong grasp of the relationship between physical systems and measured data.
- Strong data visualization skills (Plotly, Matplotlib, or similar).
- Experience writing analytical code beyond notebooks, with attention to testing, maintainability, scalability, and production deployment.
- Ability to independently turn ambiguous operational problems into structured analytical approaches.
Qualifications:
- Bachelor’s or Master’s in a relevant quantitative field (see above).
- 5+ years of relevant experience in data science, engineering/industrial analytics, or mining technology (exceptional candidates with ~4 years and directly relevant telemetry experience will be considered).
- A demonstrated record of solving complex, real-world problems with data.
- Strong analytical and problem-solving skills, with the ability to design analytical methodologies rather than relying solely on established approaches.
- Strong written and verbal communication across engineering, mining, software, and business audiences.
Mining Experience — a Strong Asset
Experience in one or more of the following is particularly valuable: open-pit mining, haul-truck operations, mine haul roads, equipment telemetry, heavy mobile equipment, fuel management and efficiency, operator performance, mine dispatch systems, GPS/GNSS equipment tracking, or equipment instrumentation and sensors. You don’t need all of these — but you should be able to understand mining operations and connect equipment behavior to the data those systems generate.
Nice to Have:
- Direct experience at a mine site or with mining companies.
- Understanding of haul-truck mechanical systems and combustion engines.
- Fuel systems, fuel-flow measurement, or energy-efficiency analysis.
- Experience with Caterpillar, Komatsu, Liebherr, Hitachi, or similar mining equipment.
- Experience developing customer-facing analytics products.
- Portuguese or Spanish language skills in addition to English.
Join us at Cascadia Scientific to be part of a passionate team dedicated to pioneering sustainable mining innovations through the power of data science!
Pay: $125,000.00-$140,000.00 per year
Application question(s):
- Do you live in Great Vancouver area?
Work Location: Hybrid remote in Surrey, BC
