Senior Data Scientist - Industrial Analytics

Salary: $125,000 - 140,000 per year

Requirements:

• Advanced proficiency in Python for data science, including Pandas, NumPy, Scikit-learn, and SciPy.
• Strong SQL skills and experience working with large relational datasets.
• Solid foundation in statistics, regression, and machine learning.
• Experience analyzing sensor data and understanding how physical systems relate to measured signals.
• Strong data visualization capabilities using tools such as Plotly or Matplotlib.
• Experience writing analytical code beyond notebooks, with emphasis on testing, maintainability, scalability, and production deployment.
• Ability to independently convert ambiguous operational challenges into structured analytical approaches.
• Bachelors or Masters degree in a relevant quantitative field.
• 5+ years of relevant experience in data science, engineering or industrial analytics, or mining technology; candidates with about 4 years of highly relevant telemetry experience may also be considered.
• Proven record of solving complex, real-world problems with data.
• Strong analytical and problem-solving ability, including the capacity to develop analytical methodologies rather than rely only on standard approaches.
• Strong written and verbal communication skills across engineering, mining, software, and business audiences.
• Experience in mining-related areas such as 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 tracking, or equipment instrumentation and sensors.
• Ability to understand mining operations and connect equipment behavior to the data those systems produce.
• Experience at a mine site or with mining companies is a strong asset.
• Understanding of haul-truck mechanical systems and combustion engines is a plus.
• Knowledge of fuel systems, fuel-flow measurement, or energy-efficiency analysis is a plus.
• Experience with Caterpillar, Komatsu, Liebherr, Hitachi, or similar mining equipment is a plus.
• Experience developing customer-facing analytics products is a plus.
• Portuguese or Spanish language skills in addition to English are a plus.

Responsibilities:

• We design, develop, validate, and deploy machine-learning, statistical, and physics-informed models for mining and heavy-equipment applications.
• We analyze large-scale telemetry data, including CAN bus, GPS/GNSS, fuel-flow meters, engine and equipment sensors, and vehicle dynamics, including spatial and geospatial machine learning on GPS trajectories.
• We build methods to detect and characterize operational events such as equipment states, refueling, abnormal sensor behavior, and changing conditions, and to identify haul-road segments, operational hotspots, and abnormal fuel consumption.
• We apply supervised and unsupervised techniques such as regression, clustering, nearest-neighbor methods, anomaly detection, feature engineering, and statistical modeling.
• We investigate complex data-quality issues, including sensor failures, calibration errors, timestamp inconsistencies, missing data, and telemetry gaps, and create robust preprocessing and validation methods.
• We design and maintain production-ready Python pipelines for processing large telemetry volumes using SQL/Postgres, APIs, and cloud infrastructure.
• We partner with software developers to move analytical prototypes into production systems and customer-facing applications.
• We collaborate with operations, engineering, product, customer success, and field-service teams to turn operational challenges into analytical solutions and communicate directly with customers to validate methods and support deployment.
• We translate complex findings into clear conclusions, visualizations, and actionable recommendations for technical and non-technical stakeholders.
• We help shape new analytical products where data science can deliver measurable value.

Technologies:

• Cloud
• Flow
• Support
• Machine Learning
• Mobile
• Python
• SQL
• numpy
• pandas

More:

We are Cascadia Scientific, a fast-growing scale-up of about 50 employees with a global customer base. We empower mining operations with precise, independent energy insights that help teams make safer, smarter, and more sustainable decisions, improving cost per tonne, fleet performance, and operational understanding. We are a close-knit, values-driven team that values professionalism, empathy, innovation, and practical problem-solving. This is a contract role with potential to become longer term, offered in a collaborative but lean environment where initiative, adaptability, and strong ownership matter. The position is hybrid remote in Surrey, BC, and offers a salary of $125,000 to $140,000 per year.

last updated 35 week of 2026