Astute full-stack Data Scientist with data-driven and technology-focused approach. Extensive Experience in Key Industries: e-commerce, retail, consumer packaged goods (CPG), and financial products.
Overview
9
9
years of professional experience
Work History
Senior Data Scientist
Amazon
10.2018 - 09.2022
Key Achievements:
Owned end-to-end data science projects: Spearheaded and oversaw data science projects focused on Acquisition, Retention, and Profitability of Business Payment Products at Amazon, including SBCC (Small Medium Business Credit Card) and PBI (Pay By Invoice).
Cross-functional Collaboration: Collaborated closely with cross-functional teams, including product managers, marketing, and finance, to align data science projects with business objectives and product strategies. Worked collaboratively with cross-organizations, including Central Economics/Data Science team, Amazon Business, Business Prime team, to ensure alignment with broader business goals.
Development of Machine Learning Models and Analysis: Utilized advanced data modeling techniques, statistical analysis, and machine learning algorithms to extract insights and make data-driven recommendations. One of models resulted in a remarkable 1.5+ times increase in SBCC acquisition, generating over $61 million in incremental value for Amazon annually.
Team Leadership and Management: Led and managed a high-performing data science team consisting of 2 data scientists and 1 business intelligence engineer. Provided coaching and mentorship to team members, fostering their professional growth and skill development.
Data Scientist
Saks Fifth Avenue
05.2015 - 08.2018
Predictive Model/Promotion Analysis: Provided data/model-driven recommendations on optimized promotion strategies to leadership, leading to improved decision-making and performance.
Customer Segmentation/Profiling Strategy: Developed comprehensive customer segmentation models for Saks 5th and Off5th businesses, enhancing marketing strategies. Successfully managed implementation and automation of these models for corporate-wide use. Achieved average 12%+ increase in traffic through effective segmentation, contributing to improved customer engagement and marketing strategies.
Product Recommendation for Drip-Email Campaign: Designed a recommendation algorithm focused on suggesting high-propensity purchase products, tailored to complement customers' recent purchases. Led and managed entire campaign process from its inception to implementation, resulting in development of one of highest-performing daily email campaigns. Attained remarkable results, generating $3+ incremental sales per email circulation, with a projected annual incremental value of $798K+.
Analyst
GroupM
04.2013 - 04.2015
Partnered with clients in Consumer Packaged Goods (CPG) industry to enhance business performance by maximizing marketing effectiveness and return on investment (ROI) through application of advanced analytics and integrated systems.
Developed econometric models to identify and quantify impacts of various factors, such as prices, distribution strategies, trade activities, innovations, and competitive actions, on product sales.
Education
Master of Arts - Management Science
Yale University School of Management
New Haven, CT
01.2013
Master of Science - Industrial Engineering And Operations Research
Columbia University
New York, NY
05.2010
Bachelor of Science - Industrial Engineering
POSTECH
Pohang, Korea
02.2008
Skills
Developed Scalable Data Science Solutions
Designed Data Science Roadmaps/Strategic Planning
Timeline
Senior Data Scientist
Amazon
10.2018 - 09.2022
Data Scientist
Saks Fifth Avenue
05.2015 - 08.2018
Analyst
GroupM
04.2013 - 04.2015
Master of Arts - Management Science
Yale University School of Management
Master of Science - Industrial Engineering And Operations Research