Algorithm Engineer, Market Growth

Binance; Singapore; Remote; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Career growth

Autonomy

Flat structure

Job summary

Binance is seeking a data-driven marketer to develop and optimise core algorithmic models for marketing scenarios. You will design and implement precision models for user behavior prediction, profiling, ROI estimation, and channel attribution, leveraging real-time data and business objectives.

You will collaborate with data, product and operations teams to ensure algorithms are deployed effectively in Binance’s marketing systems, driving measurable growth and improved efficiency across user

Qualifications

• Master’s degree or higher in CS, statistics, math or ML.
• 3+ years in roles involving algorithms, modelling or data science.
• Strong programming and big data tooling experience.

Responsibilities

• Develop core marketing algorithm models for user behaviour prediction and profiling.
• Build precision marketing models (CTR/CVR, LTV, attribution) using real-time data.
• Create data-driven strategies for user acquisition, retention and repurchase.
• Validate models with A/B tests, causal inference and attribution analysis.
• Collaborate with data, product and operations to deploy models in marketing systems.

Skills

Python

Scala/Java

ML fundamentals

A/B testing

SQL/Hive

Big data

Communication

Education

Master’s Degree

Tools

TensorFlow

PyTorch

Hadoop

Spark

Flink

Job description

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.

About The Role

In this role, you will be responsible for developing and optimising core algorithmic models in marketing scenarios, including user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis, leveraging user profiles, real-time behavioural data, and business objectives. A key part of the role will be creating data-driven strategies for user acquisition, retention, and repurchase, while continuously validating and improving performance through A/B testing, causal inference, and attribution analysis. You will collaborate closely with data, product, and operations teams to ensure these algorithms are effectively deployed within Binance’s marketing systems to drive measurable growth.

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).

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.

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.

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