Staff Product Designer

Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.     Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.  We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”      Role Overview: We're in search of a Staff Data Scientist to join our supply chain management technology team. This role is ideal for someone deeply passionate about applied research, AI/ML, and Operations Research, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management.   What You Will Do: * Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions. * Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness * Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions * Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations * Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development   Basic Qualifications * Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia * Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) * Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions  * Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis * Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery   Preferred Qualifications: * Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions * Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets * Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment * Experience designing and implementing large-scale optimization solutions for complex business problems * Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods * Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis * A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results   Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.   Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Coupang does not discriminate against disabled applicants or those with veteran status. * We are proud to offer equal opportunities for all applicants.   Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

🐦 About Birdie At Birdie, we’re reimagining care for older adults. We’re building the technology that powers the future of home healthcare, empowering care teams with tools to deliver better, more dignified care, and enabling older people to thrive in their own homes for longer. Our all-in-one solution powers millions of care visits every month, equipping care providers with the tools they need to deliver exceptional, efficient care. We’re not here to tinker at the edges. We’re here to radically transform a broken system. That’s why we’ve built an all-in-one platform that supported over 60 million care visits and enabled care for 116,000 individuals in 2025, and we continue to grow our impact. We’re scaling fast, but staying true to our purpose. That’s why we’re proud to be a B Corp, using business as a force for good. Founded in 2017, Birdie is backed by world-class investors like Index Ventures, Sofina and Omers. In 2025, we ranked #23 in the Sunday Times Top 100 tech list, making us one of the fastest-growing tech companies in the UK. You can check out more about our impact and recognition here. ⚡️ Your Mission We’re evolving Birdie’s platform to be AI-first. We’re building intelligent systems that assist decision-making, automate coordination work, and surface insights directly within real care workflows. This shift will shape the next generation of our product, and we need a designer who can help lead the way. If you’re excited about using AI to fundamentally reshape how care is delivered, this is the role for you. This role sits within the Care Management squad, one of the most complex and consequential parts of our product. Care teams use this area to assess needs, build care plans, coordinate visits, and maintain quality of care across hundreds of providers. You’ll own design for parts of this domain while also contributing to the broader AI-first direction across the platform. Beyond your squad, you’ll raise the design bar across Birdie through critique, mentorship, and systems thinking that brings greater coherence to the whole product. You’ll partner closely with Product and Engineering to frame problems, shape solutions, and drive outcomes, contributing to product direction as much as craft. Six months in, here’s what good looks like: You’ve helped define Birdie’s AI design direction and it’s actively shaping what we build. You’ve shipped meaningful improvements in Care Management. The design practice across the team is visibly stronger because of your influence. 🤩 You’ll Thrive Here If… You’ve been designing digital products for 7+ years and you have a strong track record as a senior IC. You’ve owned complex problem spaces from ambiguous 0→1 work all the way through to polished, scalable delivery. You’ve spent real time in a startup or scale-up, so you know what it feels like when priorities shift fast and you’re often the only designer in the room. When you look at a screen, you also see the workflow it sits inside, the data flowing through it, and the person under pressure who has to use it at 7am. You think in systems, not just screens. You have sharp product judgment and you know when to lean on established patterns, when to challenge them, and how to make principled trade-offs. Your craft bar is high across both UX and UI, with real care for clarity, usability, and visual polish. You’re a genuine partner to Product and Engineering, not someone waiting for a brief. You communicate persuasively enough to align stakeholders and articulate design rationale clearly. And you make the people around you better, whether that’s through mentorship, critique, or simply setting the standard others follow. It’d be a bonus if you’ve worked at a Series C or earlier SaaS startup, or have a background in healthtech, back-office or operational tooling. We’d also value hands-on experience designing AI-enabled or automation-heavy workflows, and familiarity with designing for non-technical users in high-stakes environments. 🧠 Imposter syndrome is real — and we don’t expect you to tick every box. If our mission excites you and you think you could make a difference here, we want to hear from you. 🌈 What You’ll Get From Us We believe people do their best work when they’re supported, trusted and inspired. Here’s how we build a world-class employee experience: 💸 Compensation * Competitive base salary of £110k –£130K, reviewed against benchmarks annually * Generous stock options – because we’re building this together * Bi-annual performance cycles with individual compensation reviews 🧠 Learning & Growth * Annual personal learning budget and access to training, coaching, and mentorship * Time and space for growth – you set your development goals, we back them 🏡 Flexible Working * Hybrid working – 2 days per week in our incredible London HQ in Waterloo if you are in London or 2 days per month if you are outside of London (with its own roof terrace!) * Budget to set up your home workspace * Regular in-person meetups, socials, and offsites 🏖️ Time Off * 33 days holiday (25 days + public holidays) * Extra day off on your birthday (use it whenever you like!) * Company shutdown between Christmas and New Year * 2 volunteering days each year to give back to causes that matter 👶 Family-first Policies * Industry-leading paid primary and secondary caregiver leave * 5 paid days for fertility treatments for those who need it * Private health insurance with AXA * Wellbeing perks via Happl (gym discounts, mental health support, and more) 🚲 Other Perks * Cycle to work scheme * 4% employer pension contribution when you contribute 5% * A deeply human, radically transparent culture ❓ Why Birdie? Because you want to do meaningful work that improves lives – and grow at speed while doing it. We’re building more than a product – we’re building a movement. A movement to show that tech, when built with empathy and integrity, can change lives. We’re a team of entrepreneurs, dreamers, and doers. Join us to shape the future of care, work alongside ambitious, kind people, and help reimagine how society cares for its older adults. We dream big, act fast, and work collaboratively with one goal in mind: to create a world where we all age with confidence. ⚖️ Equal Opportunities Statement We’re committed to building a diverse team and inclusive culture. That means creating a hiring process that gives everyone a fair chance regardless of background, identity, or lived experience. Need adjustments or support during the application process? Let us know. We’re here to help. ✨ Ready to build the future of care? Apply now. Be part of something that matters.