Data Scientist

Our client in the mining and metals industry is seeking a highly skilled Data Scientist to drive the development of cutting-edge analytics capabilities, with a strong focus on Generative AI, graph solutions, and neural networks. This role involves leveraging advanced data science techniques to enhance business decision-making processes and deliver actionable insights across a range of high-impact projects.

What is in it for you:

• Hourly salary of $63 to $70, based on experience.
• 12-month contract.
• Full-time position: 40 hours per week.
• In-office position in Vancouver, BC, V6C 1B4.
  
  

Responsibilities:

• Conduct exploratory data analysis to refine hypotheses and support key decision-making processes.
• Develop intuitive, user-friendly interfaces that visualize complex data insights for business stakeholders.
• Provide expert knowledge in statistical, mathematical, and machine learning concepts, ensuring the accuracy and validation of advanced algorithms and predictive models.
• Oversee disciplined governance and quality assurance across projects, ensuring adherence to standardized processes, systems, and tools.
• Deliver training and development to maintain and enhance the expertise of team members in data science methodologies.
• Engage with clients and internal stakeholders to enhance their understanding of data analytics and address critical business issues.
• Present and disseminate analytical results to promote data-driven decision-making within the organization.
• Capture and document intellectual property generated from analytical approaches for future reference and application.
  
  

What you will need to succeed:

• Master’s or PhD in Geosciences, Mathematics, Statistics, Computer Science, or a related quantitative field, with over 5 years of experience in data science projects, preferably within agile methodologies.
• Proficiency in Python for data processing, statistical analysis, modeling, machine learning, and visualization. Knowledge of R is a plus.
• Strong SQL skills for querying databases and handling large datasets.
• Hands-on experience with machine learning libraries and tools such as Xarray, Sci-kit Learn, NumPy, Pandas, TensorFlow, Keras, or similar.
• Competence in data visualization using tools like Matplotlib, Seaborn, Plotly, Tableau, D3, or similar.
• Experience with cloud platforms such as AWS (S3, SageMaker) or Azure is preferred.
• Familiarity with solving spatial or geoscientific problems is advantageous.
• Experience with graph-based solutions is also a plus.
  
  

Why Recruit Action?

Recruit Action (agency permit: AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.

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