Staff Data Scientist (SCM Autonomation)

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Company Introduction

We exist to wow our customers. We know were 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 were 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 at since our inception. We are all entrepreneurial 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 whats 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

This role would be part of SCM Autonomation team in Coupang supporting fastgrowing Taiwan ecommerce business. SCM Autonomation team is responsible forbuilding products deep data science capabilities analytical frameworks and owningprocesses end to end to provide world class solutions to our customers. RobustForecasting platform with SOTA ML/DL models and system capabilities is one of coresolution owned by this team. Forecasting is holy grail for any retail company affectingboth growth and health of the organization. With compute constraint out of equation ML/DL forecasting models influence SKUs availability to customers significantly and thats again at right role will involve building forecasting SOTA ML/DL models solving complexbusiness use cases aside promotion seasonal cyclicity long horizon forecasting. Theperson is expected to understand deep data science model nuances bring completevisibility & control on ML/DL model design trade-offs taken and influence stakeholders around to take right prioritization decisions. The person is also expectedto problem solve non-forecasting related data science use cases on classificationregression and clustering areas.

What You Will Do

Define machine learning models and establish a demand forecasting model roadmap: Establish a forecasting model strategy covering various business lines such as Fresh and Core
Feature Engineering: Both automated and business-context driven model features that reflect both horizontal common requirements and vertical domain-specific requirements.
Design and implementation of data preprocessing algorithms
Developing ML/DL models with relevant experiment design model architecture and validation/evaluation techniques
Collaborate with product business finance and analytics teams to prioritize features
Provides clear structure and explanation for ML model design
Eliminate fundamental flaws through in-depth analysis of model operation
Improving the quality visibility and transparency of model input data
Build processes and technology solutions that continuously monitor and validate predictive model inputs to ensures model accuracy and relevance over time
Thorough input data management to prevent Garbage In Garbage Out

Basic Qualifications

Minimum Bachelors degree or higher
8-12 years of experience in data science and modeling
Excellent analytical thinking skills and Excel/SQL proficiency
Data science experience: Experiment designing and building ML/DL models from scratch
Excellent data analysis and modeling skills ability to use Python or R

Preferred Qualifications

Product Documentation (PRD) Visualization and Simulation Capabilities: Ability to create documents and materials that effectively support decision making.
Prioritization and multitasking skills: Ability to clearly identify and pursue key tasks while working on multiple projects simultaneously

Type of work model

Hybrid

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week with the flexibility to work from home 2 days a week depending on the role requirement. Some businesses may require more time in office due to nature of work.

Details to consider

Those eligible for employment protection (recipients of veterans benefits the disabled etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

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Staff IC

Company IntroductionWe exist to wow our customers. We know were 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 were collectively disrupting the multi-billion-dollar e-commerce indu...