Senior Data Analytics Specialist
4 weeks ago
As a highly skilled Data Scientist, you will play a pivotal role in driving the development of cutting-edge analytics capabilities for our client in the mining and metals industry. Your expertise will focus on Generative AI graph solutions and neural networks, enhancing business decision-making processes and delivering actionable insights across high-impact projects.
About the Role:
This is a full-time position that offers an hourly salary of $63 to $70 based on experience. The 12-month contract includes working 40 hours per week in-office in Vancouver, BC V6C1B4. As a valued member of our team, you will have opportunities for growth and professional development.
Key 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.
Requirements:
To succeed in this role, you will need:
• A 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 Scikit 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.
About Us:
RecruitAction 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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