Exploratory data analysis and visualisation (e.g. with SQL, Python/Pandas, R, or similar).
3+ years of experience.
Experience in e-commerce.
Experience with recommendations algorithms.
Experience with MongoDB, A/B testing.
Competitive salary
Career opportunities, professional and financial growth
1.5x overtime and 2x holidays payment (completely voluntarily)
Secure environment
Comfortable lounge area
English classes
Corporate parties
Health insurance
Assistance with PE and tax handling
The main responsibilities are exploring the rich behaviour data collected as people shop using the recommendations and the results from the A/B tests as well as helping design and interpret future A/B tests. Your reports to the Project Manager will be focused on exploratory data analysis and A/B testing for this engine.
It’s a beauty-specific recommendations engine which helps some of the biggest beauty brands and retailers worldwide to provide great product recommendations to customers.