Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Key Responsibilities:
1. Assess the Status Quo — Develop an end-to-end understanding of the campaign lifecycle and available data assets; identify all decision points currently reliant on manual judgment (opportunity identification, audience selection, budget estimation, campaign mechanics design, post-campaign review) and determine where intelligent automation yields the highest return.
1. What Campaign to Run — Mine campaign opportunities from user behavior, product and market signals, and historical campaign performance; build an AI Agent that outputs candidate campaign themes with clear supporting evidence, not just a ranked list.
1. Who to Target — Build or reuse user segmentation and response/propensity models; apply uplift modeling to direct budget toward truly incremental audiences who would be influenced, rather than users who would convert anyway.
1. How Much Budget — Build a cost-benefit model: projected participation, incremental trading volume / revenue, ROI simulation, budget allocation recommendations, and sensitivity and risk analysis (including abuse and reward-farming risks under incentive designs).
1. Feasibility Analysis & Plan Design — Translate model outputs into a reviewable proposal: objectives, mechanics, target audience, budget, expected KPIs, and risk control boundaries; align with PM, Growth, and business stakeholders.
1. MVP Delivery — Implement the end-to-end pipeline (data → model → recommendation → campaign configuration → A/B or holdout evaluation); run it on at least one real campaign or rigorous backtest; quantify improvement relative to the current manual decision-making baseline.
Requirements:
1. Undergraduate or graduate student in Computer Science, Data Science, Statistics, Economics, or a related field.
1. Solid proficiency in SQL and Python. Experience with real-time / streaming tech stacks (Flink, Kafka) is a plus.
1. Data science foundations relevant to this project: A/B experiment design, causal inference and uplift modeling, propensity/response models, and basic predictive modeling. Must be able to distinguish correlation from incremental effect.
1. Hands-on experience with LLM application development: prompt engineering, RAG, Agent / tool-calling frameworks; able to use LLMs for reasoning and orchestration on top of quantitative models.
1. Business acumen: genuine interest in fintech / crypto and growth marketing; able to translate a business question ("Should we run a trading competition next month?") into a data problem, and translate the conclusion back into an actionable decision for business stakeholders.
1. Strong communication skills — this role sits at the intersection of data, PM, and growth/marketing.
1. Bonus: experience in growth / CRM / campaign analytics, recommendation systems, or marketing mix modeling background.
1. Minimum 3-month internship commitment, 5 days per week on-site.
1. Fluent in Mandarin is required.
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