【E-Commerce】Senior Data Scientist

An exciting opportunity for a Senior Data Scientist in Taipei City to shape the future of digital customer experiences. You will work with large-scale e-commerce platforms and membership databases to design advanced data models that power marketing automation and personalisation. Join a collaborative, inclusive team that values growth, knowledge sharing, and innovation—driving real impact on user engagement and business success.

Senior Data Scientist

Salary: Competitive and based on experience

Location: Taipei City

Keywords: Data Science, data-driven, collaborative, customer journey, privacy-preserving, marketing automation, recommendation systems

What you'll do:

• Design comprehensive Customer Data Platform data models that seamlessly integrate multi-source data including web, app, and social media streams to enable sophisticated marketing automation.
• Develop robust recommendation systems, user segmentation strategies, and churn prediction models using state-of-the-art technologies such as Transformer architectures, Graph Neural Networks, LightGBM, or PyTorch while ensuring experiment tracking through MLflow.
• Plan, execute, and analyse A/B tests or multi-armed bandit experiments to rigorously validate the impact of new products and marketing initiatives, iterating on models to enhance user retention and revenue generation.
• Collaborate closely with marketing, product management, and engineering teams to advance key data-driven projects and ensure alignment with organisational goals.
• Present complex algorithmic findings and their business impact clearly to senior leadership and stakeholders in an accessible manner.
• Ensure all data processing activities comply with GDPR/CCPA regulations by building secure and privacy-preserving data models that protect user information.
• Optimise existing data pipelines for scalability and efficiency within cloud-based environments such as Databricks, Snowflake, BigQuery, or Redshift.
• Drive continuous improvement by monitoring model performance in production environments and implementing enhancements based on real-world feedback.
• Contribute to the development of MLOps workflows using tools like MLflow/Kubeflow, Kubernetes, Docker, and CI/CD pipelines for seamless deployment of machine learning solutions.

What you bring:

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics or a related field is required; an advanced degree (Master’s/PhD) in Data Science or AI is highly desirable especially if accompanied by publications or patents in machine learning.
• At least 5–7 years of hands-on experience in large-scale data engineering or processing roles within e-commerce environments focusing on user behaviour and transaction datasets.
• Proficiency in Python programming along with deep familiarity with modern data science libraries such as Polars, NumPy, scikit-learn; expertise in machine learning frameworks like LightGBM, TensorFlow or PyTorch is essential.
• Demonstrated ability to build recommendation engines, perform user segmentation analysis and predict churn using advanced modelling techniques including Transformers and GNNs.
• Solid grounding in statistics and machine learning theory coupled with practical experience applying causal inference methods for marketing attribution.
• Extensive experience designing and analysing A/B tests or multi-armed bandit experiments for product validation purposes.
• Strong background integrating Customer Data Platforms (CDPs) with a focus on optimising customer journeys through personalisation strategies.
• Familiarity with cloud-based analytics platforms such as Databricks, Snowflake, BigQuery or Redshift; proven ability to optimise large-scale data models for performance at scale.
• Hands-on experience implementing MLOps workflows using MLflow/Kubeflow alongside containerisation tools like Kubernetes/Docker plus CI/CD pipelines for automated deployment.

What sets this company apart:

This organisation is a leading force in digital commerce, serving millions daily through its online platform. Employees thrive in a culture of inclusivity, collaboration, and respect, with flexible work options and ongoing training supporting growth. With access to vast datasets and high-impact projects, you’ll advance your career while making meaningful contributions that shape how people engage with digital services every day.

What's next:

If you are ready to take your expertise in data science to new heights within a supportive team environment we encourage you to explore this unique opportunity further.

Apply today by clicking on the link provided—your next career move could be just around the corner!