Binance Accelerator Program - Data Scientist (User Growth)

Binance

Singapore

On-siteCareer-pivot friendly

Who this role is best for

Candidates with a Master's or Ph.D. in quantitative fields and experience in user growth analytics will find this data scientist role in Singapore appealing.

Best fit for

Individuals with advanced degrees in quantitative disciplines and a focus on user growth analytics
— “Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field.”
Those with a strong background in building user lifecycle models and A/B testing frameworks
— “Build user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making.”
People who can translate algorithmic insights into measurable business outcomes through collaboration
— “Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth outcomes.”

Things to consider

The role requires a minimum of 3 months internship with at least 4 days per week availability
— “Available to intern for at least 4 days per week, with a minimum internship duration of 3 months.”
The work arrangement may vary based on the nature of the role and team
— “Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)”

How to stand out

Highlight prior work in user growth analytics or computational advertising on your resume
— “Prior internship or project experience in user growth, computational advertising, search/recommendation systems is a plus.”
Demonstrate experience with causal inference or uplift modeling in your application materials
— “Familiarity with growth-specific methods such as Uplift Modeling and Multi-Armed Bandit.”
Showcase projects involving large-scale data processing using tools like Spark or Flink
— “Experience with large-scale data processing frameworks (e.g., Spark, Flink).”
Include any notable achievements from data science competitions like Kaggle or Tianchi
— “Experience in data science competitions (e.g., Kaggle, Tianchi) with notable achievements.”
Emphasize your ability to work independently and solve complex problems efficiently
— “Strong communication skills and self-motivation, with the ability to learn quickly and solve problems independently.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design and develop algorithm strategies for user growth
build user lifecycle models
design and implement A/B testing experiments

Typical background

Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence

Skills & requirements

Required

Machine LearningData AnalysisA/B TestingUser Behavior AnalysisCollaboration With Product And Engineering Teams

Preferred

Data Science CompetitionsLarge-scale Data Processing FrameworksPublications In Machine Learning

Stack & domain

PythonNumPyPandasscikit-learnSQLLRGBDTDNNRecommender SystemsCausal InferenceReinforcement LearningOperations Research/optimizationUplift ModelingMulti-armed BanditSparkFlinkCommunicationSelf-motivationProblem-solvingData ScienceUser GrowthComputational AdvertisingSearch/recommendation Systems

About the role

Original posting from Binance via Greenhouse

Binance 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.

Source: Binance careers (Greenhouse)