[Intern] Big Data Development Engineer Intern

Posted 10 Days Ago
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Hiring Remotely in Hong Kong SAR
Remote
Internship
Fintech • Cryptocurrency
The Role
Develop an intelligent campaign decisioning pipeline for identifying opportunities, targeting incremental audiences, allocating budgets, designing campaigns, and evaluating results. Apply predictive modeling, causal inference, uplift modeling, propensity models, and LLM agents to translate quantitative insights into actionable campaign proposals. Build and test an end-to-end MVP using real campaigns or backtests, collaborating with product, growth, marketing, and business stakeholders.
Summary Generated by Built In

About Us

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.

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment. 
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Skills Required

  • Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Statistics, Economics, or a related field
  • Solid proficiency in SQL
  • Solid proficiency in Python
  • Ability to distinguish correlation from incremental effect
  • Knowledge of A/B experiment design
  • Knowledge of causal inference and uplift modeling
  • Knowledge of propensity or response models
  • Knowledge of basic predictive modeling
  • Hands-on experience with LLM application development, including prompt engineering, RAG, and agent or tool-calling frameworks
  • Business acumen and interest in fintech, cryptocurrency, and growth marketing
  • Strong communication skills for collaboration with data, product, growth, and marketing stakeholders
  • Minimum three-month internship commitment
  • Availability five days per week on-site
  • Fluent Mandarin
  • Experience with Flink or Kafka
  • Experience in growth, CRM, campaign analytics, recommendation systems, or marketing mix modeling
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The Company
HQ: Dubai
3,000 Employees
Year Founded: 2018

What We Do

Since its inception in March 2018, Bybit has emerged as a leading cryptocurrency exchange, offering a comprehensive suite of tailored crypto services and product solutions meticulously crafted for retail and institutional traders alike. Trusted by millions worldwide, Bybit continues to push the boundaries of innovation, consistently refining and expanding its multi-spectral product offerings. At the heart of Bybit's mission lies the unwavering commitment to providing a secure, reliable, and transparent trading platform that empowers investors to seamlessly navigate the dynamic world of crypto. Whether you seek to explore Spot or Derivatives trading, harness the potential of Mining and Staking products, or leverage API support for algorithmic trading, Bybit empowers you to take control of your crypto journey. As pioneers in the ever-evolving Web3 landscape, Bybit meticulously curates and incubates innovative crypto projects, decentralized solutions, and data-driven research, fostering a vibrant ecosystem of crypto education and growth opportunities. Our core values of empathy, responsiveness, and continuous improvement permeate every aspect of our operations, shaping an inclusive environment where every individual feels valued and empowered. Bybit actively collaborates with regulatory bodies and institutions worldwide, playing a pivotal role in establishing robust safety and security frameworks, paving the way for a secure and dynamic future of crypto. Embrace the Digital Revolution with Bybit: Your Trusted Partner in the Crypto Frontier. #CryptoArk #Bybit

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