Principal, Program Management (Instock Analytics)
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What you'll do
- Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models
- Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering)
- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures
- Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets
- Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive.
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
What they're looking for
- 10+ years of progressive experience in Demand Forecasting, Ordering, Procurement, Inventory Management, and Supply Chain.
- Proven track record of leading large-scale programs and influencing senior stakeholders across multiple business units.
- Advanced proficiency in SQL, BI tools, and statistical modeling; experience with machine learning applications preferred.
- Bachelor’s degree in Supply Chain, Operations Research, or related field; Master’s degree or MBA strongly preferred.
- Exceptional ability to communicate complex data insights to executive audiences and influence without authority.
- Demonstrated ability to set high standards, drive operational excellence, and deliver results in ambiguous environments.
- Experience in e-Commerce and/or Retail industry with global or multi-market exposure.
- Strong leadership skills with a passion for developing talent and fostering a culture of innovation.
Nice to have
- Master’s degree or MBA strongly preferred.
- experience with machine learning applications preferred.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Position : Principal, Program Management (Instock Analytics)
Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.
1. Which product to buy from which vendor
2. How much of each product should we buy.
3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.
4. How much inventory should we have in each of our FCs at the lowest cost.
We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
What you will do?
- Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models
- Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering)
- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures
- Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets
- Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive.
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
Essential Qualifications:
- 10+ years of progressive experience in Demand Forecasting, Ordering, Procurement, Inventory Management, and Supply Chain.
- Proven track record of leading large-scale programs and influencing senior stakeholders across multiple business units.
- Advanced proficiency in SQL, BI tools, and statistical modeling; experience with machine learning applications preferred.
- Bachelor’s degree in Supply Chain, Operations Research, or related field; Master’s degree or MBA strongly preferred.
- Exceptional ability to communicate complex data insights to executive audiences and influence without authority.
- Demonstrated ability to set high standards, drive operational excellence, and deliver results in ambiguous environments.
- Experience in e-Commerce and/or Retail industry with global or multi-market exposure.
- Strong leadership skills with a passion for developing talent and fostering a culture of innovation.
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.
Things 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 located below:
Company
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