Data Scientist

• Responsible for applying advanced analytics, machine learning, epidemiology, and real-world data methods to support AstraZeneca Japan’s commercial PDCA cycle and evidence-based decision-making
• Builds and maintains models for territory planning, HCP targeting, performance monitoring, sales target setting, new patient forecasting, gap analysis, corrective action recommendations, and evaluation of commercial interventions
• Leads root cause analysis to explain performance gaps across HCPs, facilities, regions, channels, and time periods
• Leverages Japan-specific real-world data sources such as MDV, JMDC, NDB, and DPC, together with public health and policy data, to generate insights for market shaping, brand strategy, patient journey analysis, care pathway optimization, HTA, value demonstration, and post-marketing surveillance
• Develops forecasting and scenario simulation models that incorporate epidemiology, market dynamics, competitive activity, policy signals, and pricing assumptions
• Designs analytical pipelines and platforms that integrate structured data, RWD, and public information for scalable machine learning applications
• Promotes modern methods such as deep learning, NLP, agentic AI, and parallel computing, while ensuring model quality, reproducibility, version control, monitoring, and retraining
• Partners with brand teams, market access, medical affairs, business excellence, IT, external vendors, and analytics partners to translate business questions into analytical solutions, manage project delivery, and communicate insights through clear visualization, documentation, and storytelling
• Contributes to capability building by mentoring junior professionals, promoting analytical best practices, and supporting the CET data science community

Associate Director Data Scientist, Customer Experience & IT

• Data Management チームは、Google BigQueryを基盤とした全社的なデータ活用の核となる中央集権型データウェアハウスの管理・運用・最適化を担っています。
• 現在、当社のデータプラットフォームは毎月千名以上の従業員に利用されています。このような環境において、アクセス権限や計算リソースの適切な維持管理は、高度なAIアプリケーションの活用をはじめとする、あらゆるデータドリブンな取り組みを支える上で不可欠です。
• 当社が「AI-Native」な組織へと変革を遂げる中、データ利用者の人数、総データ量、そしてユースケースの多様性は急速に拡大しており、今後もさらなる成長が見込まれています。このような状況下において、データの利用拡大とコストコントロールのバランスを保つことは極めて重要な課題です。私たちのミッションは、冗長なデータ利用を最適化しつつ、ビジネスへの貢献度や優先度の高いユースケースを確実に保護し支援する仕組みを構築することにあります。
• 最終的にチームが目指すのは、安全で使いやすく、かつコスト効率に優れたデータ分析基盤を提供することで、ビジネスの迅速な発展と成長に寄与することです。

シニアデータマネージャー

• Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
• Lead architectural decisions for data science systems. Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions.
• Collaborate with data engineers, product managers, and stakeholders to build robust production systems

Data Scientist jobs in Japan

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Associate Director Data Scientist, Customer Experience & IT

シニアデータマネージャー

Senior Data Science Engineer / Senior Machine Learning Engineer – Applied Insights