Senior Data Scientist at Wenco (a Hitachi Construction Machinery subsidiary)

Richmond, BC, CA.

Full time on site position.

Wenco International Mining Systems ( 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.

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

• 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.

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.