Taipei, Taiwan
Open 6 months, first seen by us 204 days agoMeasure ads incrementality across traffic, creative and user segments
Drive online experiments to improve ads effectiveness
Improve campaign efficiency with machine learning and AI automation
Own projects independently and build measurement solutions with product, backend and frontend teams
measure ads incrementality on different type of traffic, creative, users
Drive online experiments to continuously improve ads effectiveness.
improve campaign efficiency on combination having good incrementality by machine learning model and AI automation
Own the project independently.
3+ years of industry experience on causal inference, incrementality, marketing mix modeling
Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
Proficiency in Python and SQL
experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
Strong ownership and collaboration skills.
What We’re Looking For - Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. - 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 204
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Appier’s usual: its jobs come down by about day 77.
From 10,195 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. - Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). - Strong ownership and collaboration skills.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.
What You’ll Work On
What We’re Looking For
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Taipei, Taiwan
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