Staff Data Analyst

Seoul, South Korea

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Coupang

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Coupang is one of the largest and fastest growing e-commerce platforms on the planet. Our mission is to create a world in which Customers ask “How did I ever live without Coupang?” We are looking for passionate builders to help us get there. Powered by world-class technology and operations, we have set out to transform the end-to-end Customer experience -- from revolutionizing last-mile delivery to rethinking how Customers search and discover on a truly mobile-first platform. We have been named one of the “50 Smartest Companies in the World” by MIT Technology Review and “30 Global Game Changers” by Forbes. Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley.

 

Job Overview:

 

Coupang’s vision is to be the destination to find, explore, research, and buy any product, and the Search & Discovery organization is responsible for creating such an amazing search, discovery and shopping experience for the customers. We are obsessed about improving every aspect of the conversion funnel, from the moment a customer downloads our app, to finding the right product and making a purchase.

 

This role is within Search & Discovery’s analytics team, a team that brings user, product, transaction, and session data together to derive actionable insights, answer complex business questions, and help us deepen our understanding of our customers. As a Data Scientist on the team, you will focus on Coupang’s search & discovery performance analysis and optimization, including conversion tracking by applying various KPI’s, along with analyzing the success of A/B and multivariate testing initiatives. You will work closely with Engineering and Product teams to not only accomplish business goals, but to come up with novel ways to capture and analyze data. Additionally, you will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from all areas of Coupang, and help analysts across the team and organization with their development.

 

This role also leads multiple impactful initiatives related to user understanding, user experience, user engagement and retention.  You will leverage your advanced expertise in machine learning, statistical analysis, predictive modeling, SQL and other query languages, data pipeline design and development, data visualization, to measure and predict user value, and identify key drivers of engagement and retention change.

 

Key Responsibilities:

  • Hypothesis Validations – Generate test hypotheses and clearly validate opportunities/recommend actions that can have positive improvements in customer experience and business KPI’s.
  • Test Analysis – Drive proper A/B analysis with statistical rigor and perform cohort studies to answer “why?” on test result drivers. Ideate more complex tests from an analytical and insightful reporting perspective. Develop automated data workflows and dashboards to monitor ongoing test performance/results.
  • Tell a Concise Story – At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes.
  • Communicate Results – Identify successes, failures, trends, and effectively communicate these findings to the organization. If test results are positive – analyze KPI improvements in pre/post A/B test roll-outs; if results are negative – perform driver analysis to recommend the next iteration of that test.
  • Design new KPIs that measure user experience improvement and long term business value which isn’t necessarily reflected on conversion metrics within the duration of a test.
  • Identify and model key drivers of user engagement and retention, predict LTV and churn.
  • Unleash the power of data science, propose data-driven innovative ways to improve search & discovery experience, work with product and engineering teams to turn ideas into experiments, and deliver long-term business value.

 

Qualifications:

  • Bachelor’s degree in Quantitative field (Statistics, Engineering, Business), or equivalent experience
  • 5+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication
  • Proficient with SQL, Python, and R/SAS or any statistical package
  • Data visualization experience
  • Has experience working with Big Data technologies like Hadoop, Spark, and Presto
  • Hands-on experience with applied machine learning and statistical modeling
  • Strong critical thinking and detail-oriented with an aptitude for solving ambiguous and unstructured problems

 

Preferred:

  • Master’s degree in Quantitative field (Statistics, Engineering, Business),
  • Has experience in E-commerce product analytics or data science
  • Tableau, Superset and Airflow experience
  • Solid A/B testing experience
  • Experience with scikit-learn, TensorFlow, or PyTorch
  • Strong interpersonal skills for effective relationship management with internal & external business partners

 

전형 절차 및안내사항

  • 전형절차
    • 서류전형 - 전화면접 - 대면면접 – 최종 합격
    • 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 
    • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다. 
  • 참고사항
    • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 
    • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
    • 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다. 
  • 개인정보 처리방침
  • 서류반환 정책
    • 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 
    • 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.  
    • 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일(recruitingops@coupang.com)로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.  
    • 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Airflow Big Data Data visualization E-commerce Engineering Hadoop KPIs Machine Learning Predictive modeling Python PyTorch R Research SAS Scikit-learn Spark SQL Statistical modeling Statistics Tableau TensorFlow Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: South Korea
Job stats:  31  4  0

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