Coupang

About Coupang

Delivering convenience to millions in South Korea

🏢 Tech, Retail👥 1K-5K📅 Founded 2010📍 Seoul, Korea, South

Key Highlights

  • Publicly traded on the NYSE under the ticker CPNG
  • Valuation of approximately $60 billion post-IPO
  • Over 17 million active customers using the platform
  • Employs 1,000-5,000 people across various roles

Coupang is a leading e-commerce platform in South Korea, founded in 2010 and headquartered in Seoul. The company serves millions of customers with its fast delivery service, Rocket Delivery, which promises same-day or next-day delivery on a wide range of products. Coupang went public in March 2021, ...

🎁 Benefits

Coupang offers competitive salaries, stock options, generous paid time off, and a flexible remote work policy to support work-life balance....

🌟 Culture

Coupang fosters a customer-centric culture, emphasizing speed and efficiency in its operations. The company values innovation and encourages employees...

Coupang

Data Scientist Senior

CoupangSeoul

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Overview

Coupang is seeking a Senior Staff Data Scientist to elevate their Catalog Data Analytics team. You'll leverage your expertise in modeling and experimentation to drive insights and improvements in e-commerce. This role requires strong skills in Python, SQL, and machine learning.

Job Description

Who you are

You have a strong background in data science with at least 5 years of experience in modeling, experimentation, and inference — you excel at translating complex business problems into scientific questions and communicating your findings effectively to senior leadership. Your expertise in Python and SQL allows you to manipulate and analyze large datasets with ease, and you have a proven track record of applying machine learning techniques to derive actionable insights. You are familiar with natural language processing (NLP) and have experience working with structured and semi-structured data environments, particularly in e-commerce or logistics. You are passionate about upskilling analytical teams and building scientific rigor within data organizations, fostering a culture of data-driven decision-making.

Desirable

Experience with large language models (LLMs) is a plus, as is a background in catalog health or taxonomy systems. You thrive in a collaborative environment and enjoy mentoring junior data scientists, helping them grow their skills and confidence in data analytics. You are comfortable working in a fast-paced, entrepreneurial setting where innovation and initiative are encouraged.

What you'll do

As a Senior Staff Data Scientist at Coupang, you will lead the Catalog Data Analytics team in enhancing the scientific capabilities of the organization. You will design and implement advanced analytical models that drive improvements in product data quality and catalog health. Your role will involve conducting experiments to test hypotheses and validate assumptions, ensuring that data-driven insights are at the forefront of decision-making processes. You will collaborate closely with cross-functional teams, including product management and engineering, to integrate your findings into actionable strategies that enhance the customer experience.

You will also be responsible for mentoring and upskilling team members, sharing your knowledge of best practices in data science and analytics. By fostering a culture of continuous learning, you will help elevate the overall analytical capabilities of the team. Your insights will directly impact Coupang's mission to revolutionize the commerce industry, making shopping easier and more efficient for customers.

What we offer

Coupang provides a dynamic work environment where you can make a significant impact on the future of commerce. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals who share your passion for data and innovation. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to wow our customers and redefine the shopping experience in South Korea.

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