The Role
Develop and optimize marketing-focused algorithmic models (CTR/CVR, LTV, attribution, uplift), design lifecycle strategies for acquisition/retention, validate via A/B testing and causal inference, and collaborate with data/product/operations to deploy models into marketing systems to drive growth.
Summary Generated by Built In
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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve 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 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.
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Skills Required
- At least 3 years of experience in related fields with 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) and marketing models (Uplift, Lookalike)
- Experience with ML frameworks/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
- Clear logical thinking, ability to work independently, strong collaboration and communication skills
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
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The Company
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com
