Назад
3 дня назад

Data Scientist (User Growth) (Web3)

Формат работы
remote
Тип работы
project
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (User Growth) (Web3): Designing and developing algorithm strategies for user growth, including segmentation and recommendation systems, with an accent on LTV prediction and churn warning. Focus on building user lifecycle models and implementing A/B tests to drive precision operations and business growth.

Location: Asia, Work-from-home arrangement (may vary depending on the business team)

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

  • Design and develop algorithm strategies for user growth, focusing on user segmentation, intelligent recommendations, and incentive optimization.
  • Build user lifecycle models, including LTV prediction, churn warning, and conversion prediction based on behavioral data.
  • Design and implement A/B tests to evaluate growth strategies and drive continuous iteration.
  • Explore user characteristics and behavioral patterns using machine learning and causal inference to improve retention.
  • Collaborate with product, operations, and engineering teams to translate algorithms into measurable business outcomes.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Statistics, Mathematics, AI, or a related field.
  • Available to intern at least 4 days per week for a minimum duration of 3 months.
  • Solid foundation in machine learning and familiarity with common models like LR, GBDT, and DNN.
  • Proficient in Python (NumPy, Pandas, Scikit-learn) and strong SQL skills for independent data extraction.
  • Must be based in Asia.

Nice to have

  • Notable achievements in data science competitions such as Kaggle or Tianchi.
  • Familiarity with Uplift Modeling and Multi-Armed Bandit methods.
  • Experience with large-scale data processing frameworks like Spark or Flink.
  • Publications in machine learning or data mining fields.

Culture & Benefits

  • Work-from-home arrangement depending on the team's needs.
  • Opportunity to work within a global organization with a flat structure and world-class talent.
  • High level of autonomy and the ability to tackle fast-paced projects in an innovative environment.
  • Competitive salary and corporate benefits.
  • Continuous learning and professional growth opportunities.

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