Data Scientist

Under supervision, supports the application of statistical methodologies, or/and advanced machine learning algorithms, and AI techniques to assigned projects, ensuring their timely and high-quality delivery. Contributes to internal development initiatives focused on standardizing analytic workflows and enhancing project execution efficiency.

Requirements

• Drafts Statistical Analysis Plans and analysis dataset specifications to scientifically document clinical analysis requirements.
• Provides statistical methodology support for standard and custom projects utilizing advanced statistical methods and machine learning algorithms for big data analysis and scientific evidence generation.
• Collaborates with business teams to develop AI tools and analytic platforms, optimizing prompt engineering and standardizing analytic workflows to improve efficiency and quality.
• Stays current with the latest AI research, evaluating and integrating new tools and technologies into business processes.
• Proficiency in SAS, R, Python, Java, or other programming languages, with basic knowledge of software development frameworks.
• Strong data analysis and problem-solving skills.
• Excellent communication skills and a strong spirit of teamwork.
• Excellent English writing and speaking skills are essential; the ability to communicate in Japanese is a plus.

Tagged as: Data Analysis, Python