Data Scientist, Data Intelligence
About The Position
As part of the Data Intelligence team, the Data Scientist strengthens decision-making in alignment with World Vision Canada’s mission and impact. The role delivers advanced analytics that enable confident action, improve experiences, and support digital enablement and innovation. Key responsibilities include designing and delivering end-to-end analytics solutions, from data sourcing and preparation through to development, ensuring data is reliable and fit for purpose throughout. The role applies statistical and machine-learning techniques to solve complex business problems, partners with cross-functional and technical teams to support deployment and maintenance, and communicates insights clearly to drive understanding, adoption, and action. The role contributes to scalable, integrated solutions in a digital environment. Through this work, the Data Scientist advances insights-led decision-making and supports the Data Intelligence mandate to provide trusted data, reduce friction, and enable clear decisions. It brings strong capability in integrating diverse datasets, working within modern data environments, and translating analysis into actionable insights.
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent experience.
- 3–5 years of experience in data science or advanced analytics, including relevant academic research (e.g. Master’s or PhD work)
- Strong foundation in statistics and machine learning, with experience applying techniques such as regression, classification, clustering, forecasting, and experimentation
- Strong Python or R (e.g. pandas, NumPy, scikit-learn) and SQL for working with large, complex datasets
- Experience working with modern data platforms (e.g. Azure, Snowflake)
- Expertise in Natural Language Processing, prompt engineering, and applying domain knowledge to extract insights from unstructured data and translate LLM outputs into actionable recommendations
- Experience designing and delivering end-to-end analytics solutions, from problem framing and data preparation through to model development
- Ability to translate ambiguous business problems into analytical approaches and actionable insights
- Strong communication skills, with the ability to explain complex analysis clearly and influence non-technical stakeholders
Nice To Haves
- Certification in machine learning or big data
- Experience working in Agile environments
Responsibilities
- Leads the design and development of advanced analytics solutions (e.g., customer lifetime value, churn prediction, segmentation) that address business priorities, producing models and outputs that are accurate, repeatable, and scalable
- Defines analytical approaches to ambiguous problems by partnering with stakeholders to clarify objectives, shape hypotheses, and select appropriate methodologies
- Sources, integrates, and prepares complex datasets from internal and external systems, proactively identifying new data sources for analytics models, and ensuring data quality, integrity, and readiness for analysis
- Applies statistical, machine learning, and data mining techniques to identify trends, patterns, and drivers that inform strategic and operational decisions
- Enables deployment and ongoing performance of analytics solutions by collaborating with technical and business teams to support production-grade implementation, workflow integration, and effective ongoing model monitoring and maintenance
- Translates analytics outputs into actionable recommendations through clear storytelling, data visualization, and presentations tailored to diverse audiences
- Supports adoption and effective use of insights by guiding stakeholders in interpreting results and applying them to decisions, planning, and performance management
- Strengthens data trust and accessibility by contributing to well-structured data assets and practices that reduce friction in how data is accessed and used
- Identifies and implements improvements to analytical methods and tools to increase efficiency, accuracy, and impact within a modern digital environment
Benefits
- Health Spending Account
- Up to 6% matched pension contributions
- Parental leave top-up
- Generous paid vacation, sick days, wellness and personal days
- Office closed extra days before long weekends (6x/year)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
