Senior Staff, Data Scientist (Incrementality and Attribution)
Coupang · Seoul, South Korea
Posted about 3 months ago
or apply directly on Coupang's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Coupang's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 1% of Coupang's roles list one
- Ghost-job risk at Coupang
- high 683 stale, 14 reposted of 717 open
- Hiring momentum
- 1065 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Coupang's own greenhouse board since 2026-08-03. Full hiring picture for Coupang.
About this role
The Senior Staff, Data Scientist (Incrementality and Attribution) will lead the technical strategy for measuring marketing efficiency and optimizing budget allocation. This role involves hands-on work in architecting advanced machine learning models and incrementality testing frameworks, while collaborating with data scientists and business teams to translate marketing requirements into technical solutions. The position emphasizes technical leadership and fostering excellence in marketing science methodologies.
- 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 Coupang as an employer.
What you need
- Master’s or PhD degree in Statistics, Econometrics, Data Science, Computer Science, Operations Research, or other highly quantitative technical fields
- 10+ years of industry experience in data science, advanced machine learning modeling, or a highly quantitative marketing science role
- Deep foundational understanding of incrementality and marginality concepts, synergy and cannibalization, A/B testing design, and attribution methodology
- Demonstrated track record of hands-on experience building and deploying advanced Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) models at scale
- Advanced proficiency in Python and SQL, and deep expertise in statistical modeling, causal inference, and machine learning algorithms
- Proven experience acting as a tech lead, setting research directions, and unblocking team members without direct people management responsibilities
Nice to have
- Strong background in causal inference methodologies (e.g., uplift modeling, double machine learning, synthetic controls, geo experiments, non-compliance, confounding and bias)
- Familiar with using AI in daily work
- Experience optimizing large-scale marketing budgets across diverse channels (paid media, affiliates, performance marketing)
- Ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of complex measurement frameworks
- Strong intuition for trade-offs between model complexity, interpretability, and business usability
Worth weighing
- No salary listed
- Role is highly technical and requires deep expertise in specific methodologies
- The position is individual contributor focused with no direct people management responsibilities
- Fast-paced environment may lead to competing priorities
Summarised from Coupang's posting. Read the full original.
Listed by Coupang on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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