Drive the full lifecycle of Data Science/Analytics projects: from gathering and understanding the end-user needs to implement a fully automated solution.
Develop and provision of Data pipelines to enable self-service reports and dashboards.
Deploy Machine learning techniques to answer the appropriate business problems using R or Python.
Visualise data using Tableau and create repeatable visual analysis for end users to use as tools.
Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.
Requirements:
4+years of professional data science or product analytics experience focused on empirical analytics, data mining, and predictive analytics to develop measurable insights.