- Страна
- США
- Зарплата
- 152 000 $ – 261 000 $
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Staff, Data Scientist (Ads Analytics)
Отличная позиция в крупной публичной компании с сильной инженерной культурой и конкурентной заработной платой. Предлагается расширенный пакет льгот, включая акции и бонусы, а также возможность работать над высоконагруженными рекламными системами.
Сложность вакансии
Роль уровня Staff требует не только глубоких знаний в статистике и машинном обучении, но и опыта в разработке стратегий монетизации и аукционных моделей. Высокая планка ожиданий по опыту (от 4-6 лет) и необходимость работы в быстро меняющейся среде e-commerce делают позицию сложной.
Анализ зарплаты
Предложенный диапазон $152k–$261k полностью соответствует рыночным стандартам для позиции Staff Data Scientist в Маунтин-Вью. Нижняя граница подходит для кандидатов с минимально необходимым опытом, в то время как верхняя граница и дополнительные бонусы (0-20%) ориентированы на экспертов с опытом 6+ лет.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Data Scientist position within the Coupang Ads Product Analytics team. With a solid background in experimentation and statistical modeling, I am eager to apply my expertise to help Coupang maximize revenue and deliver exceptional value to advertisers. My experience in designing and analyzing complex A/B tests, combined with a deep understanding of monetization strategies, aligns perfectly with the goals of your globally distributed team.
Throughout my career, I have focused on transforming raw data into actionable product insights and building robust forecasting models. I am particularly drawn to Coupang’s unique blend of a startup culture and the resources of a global public company. I am confident that my technical skills in SQL, Python, and ML system design, along with my ability to communicate complex data stories to stakeholders, will make a significant contribution to the continued growth of Coupang Ads.
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Присоединяйтесь к Coupang, чтобы оптимизировать рекламные стратегии одного из лидеров e-commerce и работать с масштабными данными в Кремниевой долине!
Описание вакансии
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings.
The Coupang Ads Product Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on Ecommerce, and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.
What You Will Do
As a Staff Data Scientist at Coupang Ads, you will be responsible for :
- Product and Monetization strategy: develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue
- Metrics: deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts
- Forecasting: design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting
- A/B Testing: design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers
- 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.
Basic Qualifications
- Master’s Degree in Computer Science, Electrical Engineering, Math or a closely related field
- 4 years of Data Scientist experience in customer-facing technology companies
- Expertise in experimentation and statistics
Preferred Qualifications
The ideal candidate has 6+ years of experience as a data scientist performing ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting.
- Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains.
- Strong SQL
- Python or R for statistical analysis
- Hive, Presto, Airflow
- Experience with ML modeling design, deployment, and optimization
- Strong statistics background
- Experience in working on backend and ML systems for large-scale user-facing products
- Data visualization (e.g., Tableau, Qlik, Looker, Power BI)
- Excellent quantitative analysis skills
- Strong presentation and communication skills
- Highly organized and detail-oriented
- Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization
Pay & Benefits
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits
- Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV- [Free] Electric Car Charging Station
General Description of Other Compensation
“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
Recruitment Process and Others
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 located below: https://www.coupang.jobs/privacy-policy/
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us atusrecruiting@coupang.com.
Job Requisition ID : R0068896
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Навыки
- Tableau
- A/B Testing
- Python
- Machine Learning
- SQL
- Looker
- Statistics
- Data Visualization
- Airflow
- Power BI
- R
- Qlik
- Hive
- Presto
Возможные вопросы на собеседовании
Позиция Staff предполагает глубокое понимание механизмов аукционов в рекламе.
Как бы вы подошли к моделированию и симуляции изменений в аукционной модели для оценки влияния на выручку и пользовательский опыт?
A/B тестирование — ключевая обязанность роли.
Опишите случай, когда результаты A/B теста были неоднозначными. Как вы проводили когортный анализ, чтобы выявить истинные причины изменений?
Вакансия требует навыков прогнозирования инвентаря.
Какие методы вы используете для прогнозирования рекламного инвентаря и выручки с учетом сезонности и волатильности рынка e-commerce?
Работа в Coupang Ads связана с большими данными и сложной инфраструктурой.
Расскажите о вашем опыте работы с Hive или Presto для обработки крупномасштабных наборов данных. С какими проблемами производительности вы сталкивались?
Staff-позиция требует умения влиять на бизнес-решения.
Как вы переводите сложные статистические выводы в понятные рекомендации для руководства и продуктовых менеджеров?
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- Страна
- США
- Зарплата
- 152 000 $ – 261 000 $