Staff Data Scientist - Fraud

Company Introduction:

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry. 

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. At Coupang, every day is filled with the excitement of building, 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 challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world. 

Role Overview:
As a Staff Data Scientist, you will be responsible for leveraging our tens of millions of data points to build ML products and intelligent algorithmic solutions - to facilitate scalable decisions and create WOW experience for our customers.

This is a rare opportunity to be part of a diverse, growing, and dynamic team with so much 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 full stack staff data scientist who is comfortable working on end-to-end ML lifecycle from problem scoping all the way to ML deployment and post deployment experimentation.

What You Will Do:

• Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML 
• Work with product managers, machine learning engineers, and business users to build, deploy, and scale data science solutions 
• Spearhead the technical excellence in data science and machine learning for the team
• Leveraging your experience in data science, machine learning, software engineering, distributed systems to rapidly prototype and deploy the systems to production
• Co-build data science culture as part of a growing data science team 
• Independently design and conduct experiments to measure the impact of ML solutions or product features

Essential Qualifications

• Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools. Experience writing microservices in Golang/Java or similar production frameworks is a plus
• Bachelor’s/Master’s degree in statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience
• Ability to write clear and concise technical documentation
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions 
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them
• Experience with big data tools like Hadoop, Spark, and Presto

Preferred Qualifications:

• Experience with end-to-end ML lifecycle & integration of ML solution as a part of complex engineering system
• Have proven track record in shipping an ML system which connects to a larger engineering ecosystem
• Proficiency in writing clean code within version-controlled environments 
• Experience working in e-commerce domain
• Strong English skills (both verbal and written)

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/