The opportunity
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed,…
What you'll do
Responsible for core algorithm models in marketing scenarios, including but: not limited to user behavior prediction, user profiling, ROI estimation, and traffic allocation strategies, to improve marketing efficiency and conversion rates.
Build precision marketing models (such as CTR/CVR prediction, LTV: forecasting, marketing channel attribution analysis, etc.) based on user profiles, real-time behavioral data, and business objectives.
Design data-driven algorithm strategies for user lifecycle management: (acquisition, retention, repurchase) to optimize user growth and operational performance.
Deeply understand business needs and continuously track algorithm: performance; validate and optimize models through A/B testing, causal inference, and attribution analysis, ensuring ongoing iteration and business impact.
Collaborate closely with data, product, and operations teams to drive the: implementation of algorithms in marketing systems (e.g., user growth initiatives).
At least 3 years of experience in related fields, with a solid foundation in algorithms and programming.
What they're looking for
- Master’s Degree or above in Computer Science, Statistics, Applied: Mathematics, Machine Learning, or related disciplines.
- Proficient in at least one programming language such as Python, Scala, or: Java; familiar with big data processing frameworks like Hadoop, Spark, or Flink.
- Strong understanding of machine learning algorithms (e.g., LR, GBDT, DNN),: commonly used models in marketing scenarios (e.g., Uplift Model, Lookalike), and tools such as TensorFlow or PyTorch.
- Familiar with SQL/Hive and experienced in large-scale data cleaning, feature engineering, and model tuning.
