Ecommerce Algorithm Optimizer
2 weeks ago
We are a team responsible for developing e-commerce recommendation and marketing algorithms. Our mission is to enrich users' lives by helping them discover and acquire great products.
- Optimize e-commerce growth and marketing algorithms, including user value modeling, personalized messaging, recommendations, and intelligent marketing.
- Establish a user lifecycle data and value system to address core pain points and business challenges related to user growth.
- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase ecommerce DAU and penetration rates.
- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive ecommerce GMV growth.
- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.
- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)
- Strong foundation in algorithms and data structures, with excellent coding skills.
- Strong learning ability, curiosity, and good communication and teamwork skills.
We believe that every challenge is an opportunity to learn, innovate, and grow as one team. We are passionate about inspiring creativity and bringing joy to our users. Join us in making high-quality products easily accessible, enabling everyone to enjoy a better life.
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