Imagine Worldwide

Data Scientist

• Design, test, and scale tablet-based learning analytics to improve literacy and numeracy outcomes for children.
• Derive and communicate actionable insights from program data to inform product and operational decisions.
• Collaborate closely with Programs, Product Management, and Research to ensure data integrity and support analytics needs.
• Contribute to the organization’s analytics strategy and identify high‑impact use cases for data science.
• Act as subject matter expert on analytical methodologies and advise cross‑functional teams on best practices.
• Mentor and guide other analysts on data science methods and career development.
• Work with data engineering to define data requirements, perform EDA, data cleaning, and feature engineering.
• Ensure data quality through validation, profiling, and documentation of sources and transformations.
• Conduct advanced statistical analyses and develop, validate, and deploy predictive and prescriptive models.
• Design and analyse A/B tests and other experimental frameworks to measure impact and inform product decisions.
• Build dashboards and interactive reports (Metabase, Tableau, or similar) and translate complex results for technical and non‑technical audiences.
• Monitor key metrics and model health in production, alerting teams to anomalies or drift.