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Mid LevelFull-timePythonRustMachine LearningData ScienceGitAIData
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Binance Accelerator Program is seeking a Data Science Intern to join our team. This role involves working with user data to support personalized services and risk control in the Web3 space.
Key Responsibilities
- →Assist in managing and maintaining user tagging systems to support personalized services and risk control
- →Support analysis of user behavior data to help build accurate and dynamic user profiles
- →Participate in data mining and feature engineering tasks to extract insights from user data
- →Collaborate with cross-functional teams including Product, Risk, Marketing, and Technology
- →Help monitor and evaluate the effectiveness of user tags and profiles
- →Support data-driven decision-making processes through data collection and reporting
Requirements
- ✓Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- ✓Basic understanding of data analytics, user behavior analysis, or customer segmentation
- ✓Familiarity with Python and SQL; experience with data visualization tools is a plus
- ✓Eagerness to learn about user tagging methodologies and user journey mapping
- ✓Strong analytical thinking and problem-solving skills
- ✓Ability to work collaboratively in a fast-paced, international team environment
- ✓Detail-oriented with a strong sense of data accuracy and integrity
- ✓Exposure to machine learning concepts or AI technologies is a plus
- ✓Commitment to a minimum duration of 6 months, preferably 1 year
- ✓Bilingual English/Mandarin is required
Benefits
- ★Shape the future with the world’s leading blockchain ecosystem
- ★Collaborate with world-class talent in a user-centric global organization
- ★Tackle unique, fast-paced projects with autonomy
- ★Thrive in a results-driven workplace with opportunities for career growth
- ★Competitive salary and company benefits
- ★Work-from-home arrangement
