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Coupang Fulfillment Services · 2 months ago

Staff Data Scientist, Growth Analytics

Mountain View, USA

Full-time

Onsite

Senior Level, Lead/Staff

$138K/yr - $309K/yr

6+ years exp

Coupang is a leading e-commerce company focused on delivering exceptional customer experiences. The Staff Data Scientist in Growth Analytics will leverage big data to provide insights and drive customer engagement, retention, and business growth through innovative machine learning models and data analysis.

DeliveryLogisticsWarehousing

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

Qualification

Machine LearningPythonSQLData AnalysisData VisualizationCausal InferenceCommunication SkillsProblem-SolvingTeam PlayerSelf-Starter

Required

Master's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields

6+ 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

6+ 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

Experience with manipulating massive-scale customer and clickstream data

Experience with causal inference and causal ML

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