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Data Scientist Responsible For Ecommerce Growth And Marketing
2 weeks ago
Job Description
We are seeking a highly skilled professional to join our team as a Data Scientist responsible for developing and implementing algorithms to drive ecommerce growth and marketing efforts.
The ideal candidate will have a strong foundation in machine learning, experience with big data tools, and excellent coding skills.
Responsibilities include:
- Optimizing ecommerce growth and marketing algorithms to improve user value modelling, personalized messaging, recommendations, and intelligent marketing.
- Establishing a user lifecycle data and value system to address core pain points and business challenges related to ecommerce user growth.
- Contributing 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.
- Optimizing 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.
- Optimizing intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive ecommerce GMV growth.
Required Skills and Qualifications
Minimum Qualifications:
- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
- Experience in C++ and Python; at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce) and at least one of the Deep Learning tools (e.g. TensorFlow/PyTorch).
- Strong foundation in algorithms and data structures, with excellent coding skills.
- Strong learning ability, curiosity, and good communication and teamwork skills.
Preferred Qualifications:
- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions.
- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multiscenario modelling optimization is a plus.
Benefits
At (Company Name), we are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
Our platform connects people from across the globe and so does our workplace. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.
Others
Our mission is to inspire creativity and bring joy to users worldwide.
