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Lead Data Scientist (Content, Feeds, Recommendation)

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Location
AE, AF + 49 more
Binance

Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users. You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology.
To be successful in this role, you must be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams (e.g. with data users from different marketing and consumer team). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally.

Responsibilities:

  • Responsible for designing and managing search recommendation services and models
  • Knowledge of machine learning powered personalization methods, design patterns and tools
  • In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level
  • Drive the development of core modules with data-driven strategy to maximize the impact
  • Identify the needs and opportunities, define success metrics with Business and Product management teams

Requirements:

  • MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 8 years of relevant industry experience
  • Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
  • Bilingual English/Mandarin is required to be able to coordinate with internal and external stakeholders.
  • Experienced in leading a team
  • Experience with application development practices at scale
  • Good global team collaboration skills and experiences are good add-ons as well
  • Publication record at top conferences and journals is a plus
We have multiple openings available and many more are coming due to our rapid growth of the business. Sample projects include:
  • User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service
  • Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.
  • Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users
  • Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis

Why Binance

  • Shape the future with the world’s leading blockchain ecosystem
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle unique, fast-paced projects with autonomy in an innovative environment
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Advice from our career coach

As a data scientist at Binance, you will have the opportunity to work with PB-level data and cutting-edge machine learning technology to develop products for millions of users. To stand out as an applicant for this role, showcase your strong machine learning skills, communication abilities, and experience with impactful analyses. Here are some specific tips to help you succeed:

  • Highlight your experience with designing and managing search recommendation services and models
  • Demonstrate your knowledge of machine learning powered personalization methods and tools
  • Showcase your expertise in recommendation systems and business domain knowledge
  • Emphasize your ability to drive the development of core modules with a data-driven strategy
  • Illustrate your experience in collaborating with cross-functional teams and defining success metrics with business and product management

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About the job

Nov 15, 2024

Full-time

  1. AE United Arab Emirates
  2. AF Afghanistan
  3. AM Armenia
  4. AZ Azerbaijan
  5. BD Bangladesh
  6. BH Bahrain
  7. BN Brunei
  8. BT Bhutan
  9. BU Remote
  10. CN China
  11. CY Cyprus
  12. GE Georgia
  13. HK Hong Kong SAR China
  14. ID Indonesia
  15. IL Israel
  16. IN India
  17. IQ Iraq
  18. IR Iran
  19. JO Jordan
  20. JP Japan
  21. KG Kyrgyzstan
  22. KH Cambodia
  23. KR South Korea
  24. KW Kuwait
  25. KZ Kazakhstan
  26. LA Laos
  27. LB Lebanon
  28. LK Sri Lanka
  29. MN Mongolia
  30. MO Macao SAR China
  31. MV Maldives
  32. MY Malaysia
  33. NP Nepal
  34. OM Oman
  35. PH Philippines
  36. PK Pakistan
  37. PS Palestinian Territories
  38. QA Qatar
  39. RU Russia
  40. SA Saudi Arabia
  41. SG Singapore
  42. SY Syria
  43. TH Thailand
  44. TJ Tajikistan
  45. TL Timor-Leste
  46. TM Turkmenistan
  47. TR Türkiye
  48. TW Taiwan
  49. UZ Uzbekistan
  50. VN Vietnam
  51. YE Yemen
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