or apply directly on Appier's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Appier's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Appier's roles list one
- Ghost-job risk at Appier
- high 58 stale, 0 reposted of 74 open
- Hiring momentum
- 101 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Appier's own greenhouse board since 2026-08-03. Full hiring picture for Appier.
About this role
In this role as a Data Scientist at Appier, you will analyze campaign, auction, and user behavior data to identify opportunities for performance improvements in online advertising. You will collaborate with various teams to drive changes based on data insights, design and execute A/B tests, and build metric frameworks and dashboards to monitor campaign health. The position requires a proactive approach to problem-solving and a strong statistical foundation to inform decision-making.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- 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 Appier as an employer.
What you need
- 3+ years of hands-on experience in data analytics or data science in a product- or performance-driven environment
- Strong statistical foundation in experimental design: hypothesis testing, power analysis, and reading noisy online experiments
- Proficiency in Python and expert-level SQL, with hands-on experience processing large-scale data in PySpark or a comparable distributed framework
- Working knowledge of machine learning sufficient to collaborate with ML scientists and evaluate models' real-world impact
- Demonstrated ability to turn analysis into decisions and communicate clearly with technical and non-technical audiences
- Fluent English, written and spoken
Nice to have
- Experience in programmatic / digital advertising (RTB, DSP, ad networks) and its core metrics (CTR, CVR, CPA, ROAS, win rate)
- Experience with causal inference or building experimentation infrastructure
- Experience building dashboards (Looker, Tableau, Metabase, Grafana, Superset, or code-based libraries)
- Experience building automated or agentic analytics workflows with LLMs
What you get
- Open to overseas candidates/Visa Support
Worth weighing
- No salary listed
- The role requires a high level of collaboration across multiple teams without direct authority
- The position emphasizes a proactive and curious mindset, which may not suit all candidates
Summarised from Appier's posting. Read the full original.
Listed by Appier on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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