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Data Scientist (TechOps)

Binance

Taipei City, Taiwan (Remote)

Data Scientist (TechOps)

1 Year ago • All levels • Data Analysis

Job Summary

Job Description

Binance is a global blockchain company known for its large digital asset exchange. The Binance Accelerator Program (BAP) is a fixed-term program for early-career talent to gain experience in the Web3 space. Participants will experience Binance's operations and develop transferable skills. This role involves leveraging a large-scale data warehouse for in-depth analysis to build personalized services and identify abnormal user behavior. It also includes performing chain-based data analysis for predictions and recommendations, and utilizing machine learning to analyze customer feedback with data-driven evidence.

Must have:

Undergraduate/graduate student
Machine learning model development experience
Understanding of machine learning techniques
Ability to commit 6 months, 5 days/week

Good to have:

Experience with large data processing
Proficiency in Python, Java, and/or Scala
Master's degree or above

Perks:

Immersive experience in Web3
Networking opportunities
Skill development

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

data-analytics

mathematical

networking

python

scala

java

machine-learning

Job Details

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

About Binance Accelerator Program

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.

Learn about BAP Program HERE

Who may apply

Current University students and recent Graduates who can commit at least 6 months tenure, 5 days per week.

Responsibilities

Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition digital data asset
Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
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

Requirements

Must be a full-time undergraduate/graduate student in good academic standing
Project experience with developing machine learning models at scale
Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc
Good experience with processing large size data is preferred
Good experience with Python, Java and/or Scala is preferred
Master’s or above is preferred

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About The Company

binance

240 Active Jobs

Binance is the world’s leading blockchain ecosystem and cryptocurrency infrastructure provider with a product suite that includes the world's largest digital asset exchange and much more.

Trusted by over 200 millions of users worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more.

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Data Scientist (TechOps)

Job Summary

Job Description

7 skills required

7 skills required for this role

Job Details

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