Binance Accelerator Program - Data Scientist (User Growth)

Binance is hiring a Binance Accelerator Program - Data Scientist (User Growth). This is a remote job – you can work from home in Sri Lanka for a company abroad.

Job summary

• Post: Binance Accelerator Program - Data Scientist (User Growth)
• Employer: Binance
• Where: Remote – open to Singapore (includes Sri Lanka)
• Job type: Internship
• Level: Entry-Level, Junior
• Apply by: 29 November 2026 (or until the post is filled)

About this kind of job

IT jobs involve building, testing or supporting software and systems, often as part of a team. Employers look for practical skills, a willingness to learn new tools and clear communication.

Working remotely from Sri Lanka

• You need a laptop, a stable internet connection and good written English.
• Check the working hours (time zone) and how you will be paid (for example bank transfer, Payoneer or Wise) before you accept an offer.
• Foreign income received through banks in Sri Lanka may have tax rules – keep your payment records.

Tip from JobPortal

A short list of your projects or a GitHub / portfolio link helps your application stand out. Apply only through the official link and never pay money to get a job.

Source

This listing comes from Jobicy. Read the full original advert and apply there.

• Solid foundation in machine learning, familiar with common models (e.g., LR, GBDT, DNN) and their applicable scenarios
• Proficient in Python, with hands-on experience using NumPy, Pandas, and Scikit-learn for data analysis and modeling
• Strong SQL skills, able to independently extract and analyze data from databases
• Prior internship or project experience in user growth, computational advertising, search/recommendation systems is a plus
• Strong communication skills and self-motivation, with the ability to learn quickly and solve problems independently
• Nice-to-Haves
• Experience in data science competitions (e.g., Kaggle, Tianchi) with notable achievements
• Familiarity with growth-specific methods such as Uplift Modeling and Multi-Armed Bandit