Data Scientist in Analytics

AppierTaipei, Taiwan

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Minimum Qualifications 5+ years of industry experience in the data analytics field. Proficient in writing efficient Python scripts for data analysis and automation of tasks. Solid foundation in statistics and experience using SQL for data extraction and aggregation. Experience with data visualization tools and methodologies is a plus.

About the job

About Appier

Appier is a cutting-edge software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with a commitment to democratizing AI, our mission is to transform AI into tangible ROI by developing intelligent software solutions. With a presence in 17 offices across APAC, Europe, and the U. S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For further details, please visit www.appier.com.

About the Role

We are seeking talented Data Scientists to join our dynamic team in Taiwan. In this role, you will collaborate closely with Machine Learning Scientists, Engineers, and various product-focused roles to conduct data analytics aimed at fulfilling Appier’s product and business objectives.

Key Responsibilities

Lead initiatives and experimentation within the Ad Cloud product, enhancing real-time ad delivery efficiency in bidding scenarios.
Assess and establish a framework for product and business metrics.
Develop essential data sets and pipelines to support both operational and exploratory analysis.
Generate data analysis reports to present insights and results through dashboards and documentation.

About You

[Minimum Qualifications]

Over 5 years of industry experience in data analytics.
Proficient in writing efficient Python scripts for data analysis and job automation.
Strong statistical knowledge and the ability to use SQL for fundamental data extraction and aggregation.
Familiarity with data visualization tools and methodologies.

About Appier

Appier is a leading SaaS company specializing in AI-driven business decision-making. Our mission is to make AI accessible and profitable for businesses, with numerous offices across the globe and a strong commitment to innovation.

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Senior Machine Learning Scientist - Advertising Incrementality

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Senior Machine Learning Scientist - Ad Cloud

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About Appier Appier is a pioneering software-as-a-service (SaaS) organization dedicated to leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Explore more at www.appier.com. Your Impact at Appier We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team spearheads the development of core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will play a vital part in boosting the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a fast-paced market environment. Key Responsibilities Design, implement, and launch cutting-edge ML models to optimize campaign outcomes. Analyze extensive user and auction data to uncover predictive patterns and alpha signals that improve bidding and personalization strategies. Work collaboratively with engineering, product, and data teams to identify opportunities, outline roadmaps, and deliver impactful solutions. Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). Qualifications Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s or PhD preferred. 4+ years of experience in ad tech, focusing on performance optimization. Demonstrated expertise in applied machine learning, particularly in CTR prediction and recommendation systems. Proficiency in Python and experience with relevant machine learning frameworks.

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Senior Machine Learning Scientist at Appier | Taipei, Taiwan

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Machine Learning Scientist at Appier | Taipei, Taiwan

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Senior Software Engineer in Machine Learning at Appier | Taipei

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Senior Software Engineer in Machine Learning at Appier | Taipei

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Full-time|On-site|Taipei, Taiwan

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Staff Data Scientist - Marketing

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Full-time|On-site|Taipei, Taiwan

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Staff Data Scientist (Growth) at Coupang | Taipei

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Full-time|On-site|Taipei, Taiwan

Company Overview: Coupang is revolutionizing the shopping experience with a mission to astonish every customer, from the moment they access the Coupang app until their order arrives at their doorstep. Our innovative services in Taiwan include 'Rocket Delivery,' providing next-day delivery on a vast range of products at competitive prices, and 'Rocket Oversea,' which offers complimentary international shipping on millions of best-selling items from Korea, the U.S., and other regions.We are eager to attract top talent to spearhead Coupang’s expansion in Taiwan. This is a unique opportunity to engage in Coupang’s growth journey and contribute to a world where our customers ponder, 'How did I ever live without Coupang?' Position Summary: As a Staff Data Scientist focusing on growth, you will analyze vast datasets, transforming tens of millions of data points into actionable insights for marketing managers and leadership. Your contributions will be pivotal in crafting remarkable experiences for our customers. Your role will involve deriving meaningful insights, addressing intricate business challenges, and facilitating effective marketing campaigns. This position offers an exceptional chance to join a diverse, dynamic team with significant opportunities for advancement. You will collaborate with the Taiwan marketing team, comprising members from various global backgrounds, gaining comprehensive exposure to the rapid expansion of an e-commerce business. Key Responsibilities: Collaborate with marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to drive data-informed decision-making.Develop machine learning models, including those for predicting customer churn, product sales, banner clicks, and campaign performance.Train and implement machine learning models on both on-premise and cloud platforms.Conduct thorough analyses of growth marketing metrics for customers and products to support impactful marketing strategies.Deliver clear, actionable recommendations for CRM promotions by scrutinizing user behavior data within the app.Execute hypothesis testing, A/B testing, and regression analysis on online advertisement effectiveness.Establish a robust data pipeline to guarantee data quality and accessibility.Present analytical findings compellingly to marketing leadership.Promote a culture of analytics as a member of a growing data team.

Mar 12, 2026

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Software Engineer, Machine Learning Accelerator

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Full-time|TWD 2.6M/yr - TWD 3.1M/yr|Hybrid|Taipei, Taiwan; Hsinchu, Taiwan

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established as the Google Self-Driving Car Project in 2009, Waymo has been on a mission to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving autonomously for more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is leading the charge in this transformative industry.This position follows a hybrid work schedule and reports to the Tech Lead Manager of the Compute team.Your responsibilities will include:Designing and implementing complete stack solutions, including firmware, low-level drivers, and APIs for machine learning accelerator chips.Analyzing and optimizing firmware and driver performance for challenging AI workloads.Collaborating closely with hardware engineers throughout the ASIC design and verification phases.Creating efficient memory management solutions, including NUMA and IOMMU.

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