Algorithm Engineer - Marketing Growth

About Binance

Binance stands as a premier global blockchain ecosystem supporting the largest cryptocurrency exchange worldwide by trading volume and user registrations. Trusted by over 300 million users in more than 100 countries, Binance offers top-tier security, transparent user fund management, high-speed trading engines, deep liquidity, and an extensive array of digital asset products. Its portfolio spans trading, financial services, education, research, payment solutions, institutional offerings, Web3 functionalities, and more. The company aims to harness blockchain and digital assets to develop an inclusive financial ecosystem, enabling greater freedom of money and improved financial access globally.

Role Overview

This position involves designing and refining fundamental algorithmic frameworks for marketing applications. Tasks include modeling user behavior predictions, profiling, estimating return on investment (ROI), and devising traffic allocation tactics to boost marketing effectiveness. The role demands constructing precision marketing algorithms such as click-through rate (CTR) and conversion rate (CVR) prediction, lifetime value (LTV) forecasting, and channel attribution analyses based on user profiles, live behavior data, and strategic business goals. The engineer will formulate data-centric approaches for user acquisition, retention, and repeat purchasing, validating continual model performance improvements through methods like A/B testing, causal inference, and attribution evaluation. Collaboration with data analytics, product development, and operational units will be essential to successfully integrate these algorithms into Binance's marketing operations to drive tangible growth.

Key Responsibilities

• Design and maintain critical algorithms addressing marketing challenges, including user behavior insights, profiling, ROI assessment, and traffic distribution to enhance marketing efficiency and conversion metrics.
• Develop targeted marketing prediction models covering CTR, CVR, LTV, and marketing channel attribution, utilizing real-time user data and organizational objectives.
• Create strategic algorithmic plans to manage the user lifecycle—focusing on acquisition, retention, and repurchase—to optimize user base expansion and operational results.
• Thoroughly grasp business requirements, monitor algorithmic outcomes continuously, and iteratively enhance models by leveraging A/B testing, causal inference, and attribution methodologies to ensure maximum business impact.
• Engage with cross-functional teams including data science, product management, and operations for algorithm deployment within marketing infrastructures supporting user growth initiatives.

Candidate Requirements

• Minimum three years’ relevant experience with a robust foundation in algorithms and programming.
• Master’s degree or higher in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a closely related field.
• Proficiency in at least one programming language such as Python, Scala, or Java; experience with big data processing systems like Hadoop, Spark, or Flink is essential.
• Deep familiarity with machine learning methods including logistic regression (LR), gradient-boosted decision trees (GBDT), and deep neural networks (DNN), alongside marketing-specific models like Uplift and Lookalike modeling; working knowledge of frameworks such as TensorFlow or PyTorch.
• Practical skills in SQL/Hive for large-scale data preprocessing, feature creation, and model optimization.
• Comprehensive understanding of growth mechanisms, advertisement placement strategies, and e-commerce marketing with the ability to architect algorithmic solutions that align closely with business objectives.
• Clear logical reasoning, autonomous work capability, and strong interpersonal and communication skills for effective teamwork.

Why Join Binance

• Play a pivotal role in advancing the world's foremost blockchain ecosystem.
• Work alongside internationally renowned talents within a flat organizational framework focused on users.
• Handle distinctive, rapid-paced challenges with substantial autonomy in an innovative setting.
• Flourish in a results-oriented work environment offering career advancement and continuous education opportunities.
• Receive competitive remuneration and comprehensive company benefits.
• Option for flexible work-from-home arrangements depending on business team requirements.

Additional Information

Binance is committed to equal employment opportunities and values workforce diversity as a critical element of its success. Applicants confirm agreement to the Candidate Privacy Notice by submitting applications. Utilization of AI tools may support certain phases of recruitment, such as resume assessment and response analysis, but final employment decisions are solely made by human evaluators. For data processing inquiries, contact Binance directly.