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Manager, Data Science

Оценка ИИ

Отличная вакансия в крупной международной компании с четкими перспективами роста. Высокий балл за масштаб задач, работу с современным стеком (Gen-AI, LLM) и возможность влиять на развитие бизнеса в новом регионе.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью совмещать роль 'играющего тренера' (player-coach), глубокие знания в причинно-следственном выводе (causal inference) и опыт управления командами в быстрорастущем e-commerce.

Анализ зарплаты

Медиана95 000 $
Рынок75 000 $ – 120 000 $
Оценка ИИ

Зарплата для данной позиции в Тайбэе сильно зависит от опыта работы в международном e-commerce. Указанные рыночные оценки отражают уровень компенсации в технологическом секторе Тайваня для руководящих позиций в Data Science.

Сопроводительное письмо

I am writing to express my strong interest in the Manager, Data Science position at Coupang. With over five years of experience in quantitative analysis and a proven track record of leading data science teams within the growth marketing domain, I am excited about the opportunity to contribute to Coupang’s aggressive expansion in Taiwan. My background in building automated data pipelines and deploying machine learning models to optimize customer acquisition aligns perfectly with your goal of creating a 'WOW' experience for every customer.

In my previous roles, I have successfully bridged the gap between technical execution and business strategy by partnering with marketing teams to drive incrementality through rigorous A/B testing and causal inference. I am particularly impressed by Coupang's commitment to technical excellence and the integration of AI tools into business workflows. I am confident that my hands-on expertise in Python, SQL, and big data technologies, combined with my experience mentoring high-performing analysts, will allow me to make an immediate impact on your Growth Marketing initiatives.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в coupang уже сейчас

Присоединяйтесь к Coupang и возглавьте развитие Data Science в одном из самых быстрорастущих e-commerce проектов Тайваня!

Описание вакансии

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:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do:

  • Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
  • Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
  • Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
  • Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
  • Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth.
  • Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
  • Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
  • Spearhead technical excellence in Analytics, Data Science, and BI reporting.
  • Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

  • Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
  • Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
  • Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
  • Experience with big data tools like Hadoop, Spark, and Presto
  • Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
  • Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
  • Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
  • Ability to write clear and concise technical documentation.
  • Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

  • 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
  • Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta.
  • Experience working with ML models that optimize digital marketing and CRM campaigns.
  • Experience optimizing CRM campaigns that include push, email, SMS.
  • Proving track record of delivering data product and models that optimize marketing operastions
  • Proficiency in writing clean code within version-controlled environments
  • Experience with Gen-AI workflows and LLMs a plus

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

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Tableau
  • A/B Testing
  • Python
  • Machine Learning
  • LLM
  • SQL
  • Statistics
  • Deep Learning
  • Hadoop
  • Spark
  • Regression Analysis
  • R
  • Causal Inference
  • Clustering
  • Presto

Возможные вопросы на собеседовании

Роль требует измерения реального вклада маркетинга. Важно понять, как кандидат разделяет корреляцию и причинно-следственную связь.

Расскажите, как вы использовали методы причинно-следственного вывода (causal inference) для оценки инкрементальности маркетинговых кампаний?

Позиция подразумевает управление командой аналитиков и дата-сайентистов. Проверяется навык наставничества.

Опишите ваш подход к менторству и развитию технических навыков у членов вашей команды. Как вы устанавливаете стандарты качества кода и документации?

Coupang работает с огромными массивами данных. Нужно подтвердить опыт работы с Big Data стеком.

Каков ваш опыт работы с инструментами Big Data (Spark, Presto, Hadoop) при анализе кликстрима и логов? С какими основными трудностями вы сталкивались?

Вакансия ориентирована на Growth Marketing. Важно понимать специфику рекламных платформ.

Как бы вы спроектировали систему оптимизации аудиторий для кампаний в Google и Meta, используя машинное обучение?

Менеджер должен уметь доносить сложные выводы до руководства.

Приведите пример, когда результаты вашего анализа противоречили ожиданиям стейкхолдеров. Как вы презентовали эти данные и к какому решению пришли?

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