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Algorithm Engineer - Customer Lifetime Value (CLV)

Shopee

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Job Summary


Job Type
Permanent

Seniority
Junior

Years of Experience
At least 2 years

Tech Stacks
Strategy
Spark
C++
Scala
Hadoop
Python
Java

Job Description


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Shopee's growth data team focuses on the long-term performance of users and is committed to associating users' long-term performance with short-term behaviour through scientific methods. Our team plays a critical role in improving business framework, evaluation system and customisation strategies. Data-driven and result-oriented are our values; helping business to achieve long-term goals is our mission. We always run fast with challenges and remain at the forefront of the industry.

  • Responsible for user CLV prediction, establishing real-time prediction model, and responsible for basic algorithm and strategy research of CLV system in multiple scenarios.
  • Responsible for the feature engineering of algorithms, continue to expand business tags, mine user portraits, and continuously improve prediction accuracy.
  • Build and optimise the algorithm architecture, improve forecasting efficiency, and develop data products and decision-making tools based on business scenarios.

Requirements

  • Bachelor degree or above in computer or related majors, more than 1 year of Internet work experience.
  • Familiar with at least one programming language such as Python/Java/C++/Scala, and familiar with common big data processing frameworks such as Spark/Hadoop.
  • Solid machine learning foundation, able to apply commonly-used machine learning models to solve practical business problems proficiently, project experience with mainstream deep learning models is preferred.
  • Good logical thinking, data analysis ability, good at analysing and solving problems.
  • Advertising/recommendation/search work experience is preferred.

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