RESPONSIBILITIES/DUTIES
Data Science & Analytics
- Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
- Design, test, and implement machine learning and AI models to support predictive and operational needs.
- Maintain and update a library of analytical tools, scripts, and programs.
Business Intelligence & Visualization
- Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
- Build dynamic visualizations that support decision-making across operations and maintenance functions.
- Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
Collaboration & Communication
- Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
- Liaise with software vendors and internal teams to ensure desired system features and performance are met.
- Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
Continuous Improvement & Knowledge Sharing
- Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
- Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
- Promote the use of company data tools, AI models, and portals to increase adoption and business value.
Safety Responsibilities
- Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
- Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
- Be mindful that Safety, Security, and Environmental protection are everyone’s responsibility.
- All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
- Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
Knowledge
- Proficiency in English; French is a plus.
- Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
- Knowledge of data visualization and analytics concepts.
- Ability to develop practical solutions using data.
- Proficiency in Microsoft Office applications.
Experience
- 3–5 years of relevant experience in data science, software development, or data analysis.
- Hands-on experience in programming (Python, C++ or similar).
- Practical experience with data visualization tools (Power BI, Qlik, Excel).
- Proven track record of delivering data science projects as a hands-on implementer.
DESIRED BEHAVIORS & EXPERIENCES
- Demonstrates curiosity and persistence in identifying insights and creating business value.
- Able to work independently and collaborate effectively within a team environment.
- Communicates clearly and confidently, both verbally and in writing, to different audiences.
- Show adaptability and flexibility when working with diverse stakeholders.
- Strong problem-solving skills with the ability to manage competing priorities.
- Takes initiative, meets deadlines, and shows accountability for results.