Sujin Baek

Chief Data Officer at Relay HQ | ex-Ayala Corporation

Relay HQ

Seoul, South Korea · KST (UTC+9)

11+ years experience

Seoul National University

English, Korean

Hiring

Messaging unavailable

Overview

Currently at Relay HQ, where I lead recommendation systems with a team of 28. Taught SQL to 75 non-analysts. Bird-watcher and amateur naturalist.

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Second opinions on Python decisions

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Checks messages twice a week

Skills

PyTorchSparkrecommender systemsrankingPythonembeddings

HiringHiring for a role

closes in 3 months

Building out recommendations at Relay HQ: analytics engineers wanted in Seoul

Role: Analytics engineer
Level: Senior
Type: Full-time
Work mode: Hybrid
Compensation: $126k-$169k
Team: Recommendations, 6 people
Start: This quarter
Must have: Production experience with recommender systems Production experience with Spark Ownership of something end to end
Process: Two interviews and a paid trial day

Comp S$131k-S$215k. One technical chat and a paid trial day. Message me with one thing you shipped that you're proud of.

Seoul, South Koreapytorchembeddingspython

Open

Experience

Chief Data Officer
Nov 2024 - Present
Relay HQ · 1 yr 11 mo · Full-time · Seoul, South Korea
- Taught SQL to 141 non-analysts.
- Moved the homepage from rules to a learned ranker.
Analytics Manager
Jun 2022 - Oct 2024
Ayala Corporation · 2 yr 4 mo · Full-time · Seoul, South Korea
- Replaced 99 hand-built dashboards with one metrics layer people trust.
Staff Data Scientist
Sep 2019 - Jun 2022
LINE · 2 yr 9 mo · Contract · Seoul, South Korea
- Wrote the metric definitions the leadership team reviews every week.
- Moved the homepage from rules to a learned ranker.
Data Analyst
Oct 2017 - Jun 2019
Bank Central Asia · 1 yr 8 mo · Full-time · Seoul, South Korea
- Shipped a ranking change that increased conversion 5.9%.
- Wrote the metric definitions the leadership team reviews every week.
Analytics Manager
May 2015 - Oct 2017
PwC · 2 yr 5 mo · Full-time · Seoul, South Korea
- Replaced 89 hand-built dashboards with one metrics layer people trust.
- Moved the homepage from rules to a learned ranker.

Projects

Side project: a recipe search engine

2024

Built with PyTorch and recommender systems. 2193 people used it last year.

Conference talk: lessons from recommendations

2022

What went wrong and what worked while scaling recommendation systems.

References

No references yet.

Education

Seoul National University
BS, Computer Science
2004 - 2008

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