Moloco

Senior/Staff Applied Scientist (시니어/스태프 응용 과학자)

Moloco · Seoul, Korea

Posted about 2 months ago

or apply directly on Moloco's site. We never take the application ourselves.

Is this posting real?

This role has been open
74 days
Moloco's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of Moloco's roles list one
Ghost-job risk at Moloco
high
46 stale, 1 reposted of 47 open
Hiring momentum
63 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Moloco's own greenhouse board since 2026-08-03. Full hiring picture for Moloco.

About this role

As a Senior/Staff Applied Scientist at Moloco, you will tackle complex challenges in AI advertising by analyzing ambiguous signals and driving root cause analysis. Your responsibilities include designing and implementing experiments, shipping fixes, and creating methodologies that empower other teams. You will also communicate findings effectively to various stakeholders, ensuring your insights lead to actionable changes in the organization.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Moloco as an employer.

What you need

  • Ph.D. in computer science, statistics, operations research, economics, or a related quantitative field, plus 2+ years of industry experience, or 5+ years of industry experience solving large-scale ML, optimization, or systems problems without one
  • Strong applied statistics and causal reasoning skills
  • Fluency in Python and SQL against large datasets (Spark, BigQuery, or equivalent)
  • Experience owning a model or algorithm in production
  • Clear written English

Nice to have

  • Experience in ads, recommendation, search ranking, marketplaces, or real-time auctions
  • Knowledge of probability calibration, delayed feedback, or selection bias in logged-bandit data
  • Experience with CTV, attribution modeling, or incrementality measurement
  • Familiarity with PyTorch or TensorFlow applied to tabular or sequential production data at scale

Worth weighing

  • The role requires a strong emphasis on communication and collaboration with various teams, which may not suit those preferring independent research work.
  • The distinction between Senior and Staff roles is based on demonstrated scope rather than years of experience, which may affect career progression expectations.

Summarised from Moloco's posting. Read the full original.

Listed by Moloco on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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