Product Data Scientist

As a Product Data Scientist in this leading subscriptions business, you will play a key role within product analytics. More specifically, you will be involved in the following:

• Improving testing and experimentation strategy, monitoring performance of new features, funnel performance and ab testing/causal impact
• Identifying key growth opportunity whilst fostering a great work culture and environment
• Working with stakeholders across various teams
• Delivering insights on customers including demographic, LTV and engagement
• Regularly conducting a/b tests and other experiments
• Analysis incl. statistical analysis with tools such as Python/R desirable
• Development of some reports/dashboards in Tableau

The successful Product Data Scientist will have the following skills and experience:

• Experience within Product Analytics / Product Data Science
• Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks
• Experience with SQL, Python and ideally Tableau or similar for visualisation
• Excellent business judgement and strategic thinking, with the technical toolkit to enable delivery and strong experience in collaborating and co-ordinating across multiple business departments
• Excellent communication and stakeholder skills, * Analysis
• Analytics
• Communication
• KPI
• LTV
• Python
• SQL
• commercial
• Senior
• product
• R
• segmentation
• a/b
• experiment
• conversion
• tableau
• predictive modelling
• funnel
• looker
• experimentation

The successful Product Data Scientist will receive a salary between £65,000 and £85,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.

This is a fantastic opportunity at a leading subscription platform offering tech-for-good services. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.