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Form of workJob Responsibilities: Apply knowledge of statistics, Hypothesis Testing, Machine Learning, Programming, Data Modelling, Simulation and Advanced Mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyse and interpret the results of product experiments. Estimate and measure the impact of work done across the portfolio against key product and business metrics. Work with product engineers to ensure correct instrumentation of data within products and translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Provide Business Intelligence (BI) and data visualisation support, and support ad-hoc requests requiring data analysis.
The ideal candidate will have the following:
- Experienced in using SQL on large datasets and a programming languages such as Python and/or R for analysis
- Big Data tools such as Hadoop or Databricks, Data Visualisation tools such as Tableau.
- Ability to understand business problems and apply an appropriate methodology for investigation.
- The ability to communicate effectively in writing, including conveying complex information and call-to-action recommendations.
Nice to have:
- 6+ years of relevant experience.
- Experience working in a large technology company.
