Skip to main content

Staff Data Scientist, Analytics

Location Mountain View, USA


Our Analytics team has a mission to power the growth of Coupang through data-driven insights. We are a team of creative problem solvers with a passion to deliver innovative business solutions. The team leverages big data to empower business decisions and deliver insights, metrics and tools in order to drive customer engagement, retention and business growth. As the growth engine within one of the largest and fastest growing e-commerce platforms on the planet, Coupang’s analytics team offers countless ways for an ambitious data scientist to make an impact.

Key Responsibilities

  • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production.  
  • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. 
  • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or marketing efforts.
  • Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive customer engagement and retention.
  • Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights.
  • Design and analyze experiments to test new product ideas or marketing strategies. Convert the results into actionable recommendations.
  • Craft compelling stories; make logical recommendations; drive informed actions.
  • Communicate findings to senior leaders and evangelize data-driven business decisions


Basic Qualifications

  • Master’s degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields;
  • 8+ years of work experience involving quantitative data analysis and machine learning models projects.
  • Programming language required including python, R, spark
  • Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large datasets;
  • 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products   
  • Experience with state of the art ML modeling techniques and approaches
  • Hands-on experience training and applying models at scale.  
  • Ability to communicate information effectively to a variety of groups at different levels.
  • Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts.
  • Self-starter who takes the initiative to get things done.
  • Outstanding team player with a customer-back mindset


Preferred Qualifications

  • Experience with manipulating massive-scale customer and clickstream data.
  • Experience with causal inference.
  • Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.
  • Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
  • Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.  
  • Search engine bidding experience and knowledge

    Pay & Benefits      

    Our compensation reflects the cost of labor 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 $138,000/year in our lowest geographic market to $297,000/year in our highest geographic market. 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      

    • Medical/Dental/Vision/Life, AD&D insurance    
    • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)   
    • Long-term/Short-term Disability   
    • Employee Assistance Program (EAP) program   
    • 401K Plan with Company Match   
    • 18-21 days of the Paid Time Off (PTO) a year based on the tenure   
    • 12 Public 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 range or wage scale.   

     Job ID: R0042433  

    Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.  

     If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at    


    Equal Opportunities for All

    Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.