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

Richmond, BC, CA. Full time on site position. 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. 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. QualificationsEducation • 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. #J-18808-Ljbffr