Binance Accelerator Program - Data Scientist (User Growth)

Devconnectplatform; Singapore; Remote; SGD 8,900 - 17,000; Part time

Job summary

Binance is seeking a Data Scientist (User Growth) intern to help design growth algorithms and experiments. You will work with teams across product and engineering to transform modeling insights into tangible user growth outcomes.

The role emphasizes ML fundamentals, Python and SQL proficiency, and hands-on experience with data analysis. Remote internship with flexible scheduling in a dynamic, global environment.

Qualifications

• Pursuing a Master’s or Ph.D. in CS, Statistics, Mathematics, AI, or related field.
• Available to intern for at least 4 days per week, with minimum duration of 3 months.
• Strong foundation in ML and Python with experience in data analysis and modeling.

Responsibilities

• Design and develop algorithmic growth strategies across user segmentation and recommendations.
• Build and validate user lifecycle models (LTV, churn, conversion).
• Design and run A/B tests to evaluate growth strategies and iterate.

Skills

Python

SQL

Machine Learning

A/B Testing

Education

Master's or PhD in CS/Statistics/Math/AI

Tools

NumPy

Pandas

Scikit-learn

Job description

# Binance Accelerator Program - Data Scientist (User Growth)BinanceSalary not statedInternshipremote· juniorSingaporepythonsqlListed via Jobicy · posted 28 Oct 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionBinance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.Responsibilities:-Participate in the design and development of algorithm strategies for user growth, including but not limited to user segmentation, intelligent recommendation, and incentive strategy optimization.-Build user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making.-Design and implement A/B testing experiments to evaluate the effectiveness of growth strategies and drive continuous iteration and optimization.-Explore user characteristics and behavioral patterns using machine learning and causal inference methods to improve user retention and conversion.-Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth outcomes.Requirements:-Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field. Available to intern for at least 4 days per week, with a minimum internship duration of 3 months.-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.-Familiarity with at least one of the following areas is preferred: recommender systems, causal inference, reinforcement learning, or operations research/optimization.-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.-Experience with large-scale data processing frameworks (e.g., Spark, Flink).-Publications in machine learning, data mining, or related fields.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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.Why Binance- Shape the future of finance- Collaborate with world-class talent in a user-centric global organization with a flat structure- Tackle challenging projects in a fast-paced and innovative enviornment with autonomy- Thrive in a results-driven workplace with opportunities for career growth and continuous learning- Competitive salary and company benefits- Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read our Candidate Privacy Notice.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.