【Streaming Platform】Senior Data Scientist

Join a forward-thinking team transforming how data drives business and user experiences. As a Senior Data Scientist, you’ll apply advanced ML and statistical methods to high-volume datasets, directly shaping product growth. Collaborate with engineers and analysts to build scalable platforms that deliver actionable insights. Enjoy a supportive culture that values teamwork, knowledge sharing, and continuous learning while working on projects shaping the future of digital products.

Senior Data Scientist

Salary: Competitive and based on experience

Location: Taipei City

Keywords: data-driven, machine learning, recommendation engines, collaborative environment, scalable platforms, actionable insights, growth metrics, end-to-end pipelines, statistical methods, teamwork

What you'll do:

• Design and deploy tailored recommendation models and other predictive systems that address specific business needs and enhance user experiences across digital products.
• Build comprehensive end-to-end machine learning pipelines encompassing feature engineering, model training, optimisation, deployment, and ongoing monitoring to ensure robust performance.
• Establish frameworks for tracking performance across critical growth metrics such as user engagement, conversion rates, and retention, providing clear visibility into the impact of your solutions.
• Collaborate closely with engineering teams to seamlessly integrate machine learning solutions into large-scale production systems, ensuring reliability and scalability.
• Translate complex business goals into practical, data-driven solutions by leveraging your analytical skills and understanding of organisational objectives.
• Apply advanced statistical methods and machine learning algorithms to extract meaningful patterns from high-volume datasets, supporting strategic decision-making processes.
• Work alongside analysts to interpret results, validate models, and communicate findings in a way that is accessible to both technical and non-technical stakeholders.
• Continuously evaluate new tools, frameworks, and methodologies in the field of data science to enhance existing workflows and maintain best practices within the team.
• Contribute to the development of internal documentation and knowledge-sharing sessions to foster a culture of continuous learning among colleagues.
• Participate in cross-functional meetings to align project objectives with broader company strategies, ensuring that data science initiatives are fully integrated into overall business plans.

What you bring:

• A minimum of 5 years’ experience working in areas such as recommendation systems, search technologies, advertising analytics or fraud detection within high-volume environments.
• Demonstrated proficiency in Python along with hands-on experience using essential data libraries for analysis and modelling tasks.
• Practical expertise with leading machine learning or deep learning frameworks such as TensorFlow or PyTorch for developing scalable models.
• Familiarity with distributed data processing tools including Spark, Hive, Ray or MapReduce for handling large datasets efficiently.
• A solid grounding in algorithms, statistics and core software engineering principles relevant to modern data science applications.
• Excellent communication skills combined with a proven ability to collaborate effectively within multidisciplinary teams.
• Experience working on large-scale recommender or search platforms is highly desirable for this position.
• Knowledge of deep learning-based recommendation models would be advantageous when tackling complex prediction problems.
• Exposure to API development practices as well as cloud services like AWS or GCP can further strengthen your candidacy.
• Familiarity with containerisation technologies (such as Docker) plus experience experimenting with LLMs or modern ML frameworks is considered beneficial.

What sets this company apart:

This company is a leading streaming company dedicated to leveraging data not only to improve internal operations but also to enhance customer-facing products. Collaboration is embedded in daily work through open communication and knowledge sharing. Employees benefit from continuous learning opportunities to stay ahead in data science, along with flexible work arrangements to balance career and life. Diversity and inclusion are at the heart of the culture, fostering true innovation. Joining the Taipei team means becoming part of a supportive network where your contributions are valued and celebrated as collective success.

What's next:

If you are ready to make a significant impact through your expertise in data science while growing alongside passionate peers who value collaboration—this is your moment!

Apply today by clicking on the link provided; take the next step towards advancing your career in an inspiring environment.