[Intern] Big Data Development Engineer Intern

<div class="content-intro"><p><strong>About Us</strong></p> <div data-page-id="HladdPLXIoNz4nxkqkCuk4rAs8v" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-XCikdRR2xoZIjdxtCKcuOflrs8d">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.</div> <div class="ace-line ace-line old-record-id-IF06dI0MPoBwYfxbZ4zui13HsoC">&nbsp;</div> <div class="ace-line ace-line old-record-id-X5EbdOwvMoYuOmxQBbuueUEDsDd">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.</div> <div class="ace-line ace-line old-record-id-LtVud2dO7oglqJxxZoOucqjJsPc">&nbsp;</div> <div class="ace-line ace-line old-record-id-RMHkdm4bPo66l3xMVO8ui1o8sle">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.</div> </div></div><div data-lark-html-role="root"><span class="universal-card-text universal-card-text--bold">Key Responsibilities:</span><br> <div class="universal-card-markdown-list"> <ol class="universal-card-markdown-list__ol"> <li data-marker="1."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">Assess the Status Quo</span><span class="universal-card-text"> — 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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="2."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">What Campaign to Run</span><span class="universal-card-text"> — 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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="3."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">Who to Target</span><span class="universal-card-text"> — 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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="4."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">How Much Budget</span><span class="universal-card-text"> — 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).</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="5."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">Feasibility Analysis &amp; Plan Design</span><span class="universal-card-text"> — 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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="6."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">MVP Delivery</span><span class="universal-card-text"> — 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.</span></div> </li> </ol> </div> <span class="universal-card-text universal-card-text--bold">Requirements:</span><br> <div class="universal-card-markdown-list"> <ol class="universal-card-markdown-list__ol"> <li data-marker="1."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">Undergraduate or graduate student in Computer Science, Data Science, Statistics, Economics, or a related field.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="2."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">Solid proficiency in SQL and Python. Experience with real-time / streaming tech stacks (Flink, Kafka) is a plus.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="3."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="4."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="5."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">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.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="6."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">Strong communication skills — this role sits at the intersection of data, PM, and growth/marketing.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="7."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text">Bonus: experience in growth / CRM / campaign analytics, recommendation systems, or marketing mix modeling background.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="8."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">Minimum 3-month internship commitment, 5 days per week on-site.</span></div> </li> </ol> <ol class="universal-card-markdown-list__ol"> <li data-marker="9."> <div class="universal-card-markdown-list__li-content"><span class="universal-card-text universal-card-text--bold">Fluent in Mandarin is required.</span></div> </li> </ol> </div> </div><div class="content-conclusion"><p><strong>Why Join Us</strong><br>At Bybit, we are committed to fostering a supportive and enriching work environment.&nbsp;<br>Our benefits include:<br>- Study Growth Fund: We support your professional development and continuous learning.<br>- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.<br>- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.<br>- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.<br>- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.</p></div>