Data Scientist, Market Growth (Lifecycle) at Binance

Hong Kong

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cryptocurrency, Blockchain, Fintech, MarketingIndustries

Requirements

At least 3 years of experience in related fields, with a solid foundation in algorithms and programming
Master’s Degree or above in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related disciplines
Proficient in at least one programming language such as Python, Scala, or Java; familiar with big data processing frameworks like Hadoop, Spark, or Flink
Strong understanding of machine learning algorithms (e.g., LR, GBDT, DNN), commonly used models in marketing scenarios (e.g., Uplift Model, Lookalike), and tools such as TensorFlow or PyTorch
Familiar with SQL/Hive and experienced in large-scale data cleaning, feature engineering, and model tuning
Deep understanding of user growth, ad placement, and e-commerce marketing scenarios, with the ability to design algorithm solutions aligned with business goals
Clear logical thinking, ability to work independently, and strong team collaboration and communication skills

Responsibilities

Responsible for core algorithm models in marketing scenarios, including but not limited to user behavior prediction, user profiling, ROI estimation, and traffic allocation strategies, to improve marketing efficiency and conversion rates
Build precision marketing models (such as CTR/CVR prediction, LTV forecasting, marketing channel attribution analysis, etc.) based on user profiles, real-time behavioral data, and business objectives
Design data-driven algorithm strategies for user lifecycle management (acquisition, retention, repurchase) to optimize user growth and operational performance
Deeply understand business needs and continuously track algorithm performance; validate and optimize models through A/B testing, causal inference, and attribution analysis, ensuring ongoing iteration and business impact
Collaborate closely with data, product, and operations teams to drive the implementation of algorithms in marketing systems (e.g., user growth initiatives)

Skills

Key technologies and capabilities for this role

PythonMachine LearningPredictive ModelingCTR PredictionCVR PredictionLTV ForecastingChannel AttributionA/B TestingCausal InferenceUser Behavior AnalysisData ScienceAlgorithm DevelopmentSQLStatistical Modeling

Questions & Answers

Common questions about this position

Is this Data Scientist role remote?

Yes, this is a full-time remote position.

What is the salary or compensation for this position?

This information is not specified in the job description.

What skills and experience are required for this Data Scientist role?

Candidates need at least 3 years of experience in related fields, a Master’s Degree or above in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related disciplines, proficiency in Python, Scala, or Java, familiarity with big data frameworks like Hadoop, Spark, or Flink, and strong understanding of machine learning algorithms.

What kind of collaboration is involved in this role?

You will collaborate closely with data, product, and operations teams to drive the implementation of algorithms in marketing systems.

What makes a strong candidate for this Data Scientist position?

A strong candidate has at least 3 years of experience, a relevant Master’s degree, proficiency in programming languages like Python and big data frameworks, and expertise in machine learning, with the ability to build models for marketing scenarios like user behavior prediction and LTV forecasting.

Binance

Cryptocurrency exchange for trading and earning

About Binance

Binance is a cryptocurrency exchange platform where users can buy, sell, and trade a variety of cryptocurrencies, including Bitcoin and Ethereum. It offers multiple trading options such as Spot, Margin, and Futures markets, along with a peer-to-peer service for direct transactions. Users can also earn interest on their crypto holdings through Binance Earn and trade NFTs in its marketplace. Binance stands out as the largest crypto exchange by trade volume, aiming to provide comprehensive services for both new and experienced traders.

Valletta, MaltaHeadquarters

2017Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Crypto & Web3, Financial ServicesIndustries

5,001-10,000Employees

Benefits

Competitive salary

Option to be paid in crypto

Health insurance

Flexible working hours

Remote work for many roles

Company sponsored holidays

Learning and development programs

Free language classes

Relocation support

International transfers mid-career

Risks

Regulatory scrutiny in the U.S. could impact Binance's operations and reputation.

Allegations of internal misconduct may lead to legal complications for Binance.

Expansion into new markets like Brazil poses integration and compliance challenges.

Differentiation

Binance offers a comprehensive range of crypto services, including trading and NFTs.

It is the largest crypto exchange by trade volume, serving over 166 million users.

Binance provides unique products like Binance Earn and a Launchpad for new tokens.

Upsides

Binance benefits from the growing popularity of crypto staking and yield farming.

Increased interest in Layer 2 solutions could boost Binance's trading volume.

Stablecoin adoption for cross-border transactions may increase Binance's trading volumes.

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