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.
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.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Binance Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Artificial Intelligence • Analytics • Consulting • Semiconductor
Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.
Top Skills:
Chart.JsCudaD3.JsGithub ActionsGithub ApiHipJaxNeonNeuronNext.Js App RouterPostgresPyTorchReactRechartsRocmServer ActionsServer ComponentsSQLTpuTrainiumTypescriptVercelWebhooksXla
Professional Services • Real Estate • Consulting
Lead business generation across Greater China and North Asia by managing pipelines, advising on pursuits, developing client relationships, leading strategic bids, analyzing markets, enabling cross-selling, and improving work-winning practices. The role partners with senior leadership, marketing, bid teams, and business operations to identify revenue opportunities, coordinate major pursuits, maintain pipeline accuracy, and coach teams toward a client-focused growth culture.
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Manage financial and management reporting, cash flow, tax, budgeting, statutory accounts, and reconciliations. Support FP&A, forecasting, performance analysis, and business partnering to guide commercial decisions. Lead finance transformation by applying AI, automation, data, and technology to simplify processes, strengthen controls, and improve scalability. Partner with technology and business teams, ensure accounting and regulatory compliance, and coordinate with auditors and external advisors.
Top Skills:
AIBusiness IntelligenceData AnalyticsErpExcelFinancial SystemsGenaiWorkflow Automation
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
