Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Algorithm Engineer, Market Growth (AI): Developing and optimizing core algorithmic models for marketing scenarios with an accent on user behavior prediction, profiling, and ROI estimation. Focus on building precision marketing models such as CTR/CVR and LTV forecasting, designing data-driven user lifecycle strategies, and validating performance through A/B testing.
Location: Remote (Must be based in Asia)
Company
Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.
What you will do
- Develop core algorithm models for user behavior prediction, profiling, ROI estimation, and traffic allocation to improve conversion rates.
- Build precision marketing models, including CTR/CVR prediction, LTV forecasting, and marketing channel attribution analysis.
- Design data-driven algorithm strategies for user acquisition, retention, and repurchase to optimize lifecycle management.
- Validate and iterate models through A/B testing, causal inference, and attribution analysis.
- Collaborate with data, product, and operations teams to integrate algorithms into growth initiatives and marketing systems.
Requirements
- At least 3 years of experience in algorithm development and programming.
- Master’s Degree or above in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related fields.
- Proficiency in Python, Scala, or Java, and familiarity with big data frameworks like Hadoop, Spark, or Flink.
- Strong understanding of ML algorithms (LR, GBDT, DNN) and tools such as TensorFlow or PyTorch.
- Experience with SQL/Hive for large-scale data cleaning, feature engineering, and model tuning.
- Must be based in Asia.
Culture & Benefits
- Work-from-home arrangement.
- Collaboration within a user-centric global organization with a flat structure.
- Autonomy to tackle unique, fast-paced projects in an innovative environment.
- Competitive salary and company benefits.
- Results-driven workplace with opportunities for continuous learning and career growth.
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