Data Scientist, Analytics & Insights

• Consults with business partners and identifies appropriate research approach/design to address the business problem at hand.
• Provides in-depth customer analysis and insight, helping to guide and inform decisions to optimize marketing initiatives, research customer personas, segments, and journeys, and highlighting trends as necessary.
• Mines internal and external data to develop research results that emphasizes actionable recommendations and insights to support business decisions and marketing optimization.
• Extracts and validates structured and unstructured data from various sources, proactively identifying new data sources to integrate into data analytics models.
• Manipulates large data sets from multiple sources, performing big data analytics where possible to understand emerging trends, patterns, or insights through the use of statistical analysis.
• Creates predictive models that inform key business decisions and executes models from design through to deployment, ensuring accuracy of data and that models are viable, repeatable, and scalable; reports on model results once applied.
• Educates the organization on advanced analytics approaches and techniques used, such as testing hypotheses and predictive modelling, helping the organization understand the principles and the underlying logic behind the process.
• Leads model governance planning and execution process.
• Takes initiative to find better methodologies and approaches to produce accurate, timely and actionable insights for WVC internal stakeholders and donor audiences.
• Develops clear and comprehensive presentations of analytics results that emphasizes actionable recommendations and insights to support the development of new strategies and tactics.

• 3 to 5 years of relevant advanced analytics experience; experience working in an Agile environment an asset.
• Bachelor’s degree in mathematics, statistics or computer science or related field.
• Master’s degree preferred; certification in machine learning and/or big data an asset.
• Solid knowledge of statistical techniques with a focus on customer and digital data, analytical modelling and other advanced analytics techniques (such as statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms).
• Proficient in the use of statistical packages; strong programming skills (such as Hadoop, MapReduce or other big data frameworks, Java), and statistical modelling (like SAS, Python or R)
• Experience developing and using machine learning algorithms
• Expertise in Natural Language Processing, prompt engineering and domain knowledge to extract insights from unstructured data and translate LLM outputs into actionable recommendations
• Demonstrates the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.

• Proven ability to think strategically and to come up with solutions to loosely defined business problems.
• Strong interpersonal skills; a strong team player and collaborative with other departments
• Curious mindset; demonstrated analytical and communication skills, and commitment to life-long, hands-on learning.

• Our competitive compensation & benefits include:

• 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)

• World Vision Canada has consistently been awarded Canada and GTA top employer awards.
• We are Canada’s largest development, relief, and advocacy non-profit organization.
• We embody an Agile mindset here.

World Vision International