Top Data Science Jobs in Tokyo

The Value Engineer partners with enterprise executives, business units, IT, and Sales to identify transformation opportunities, build quantified business cases, conduct Proof of Value projects, and deliver measurable improvements. The role supports post-deployment change, expands transformation across accounts, develops customer Centers of Excellence, manages stakeholder expectations, and shares customer insights with product and global teams.

Leads Japan’s data science and AI function, overseeing the full lifecycle from problem definition and data sourcing through production deployment, monitoring, retraining, and retirement. Builds the use-case portfolio, establishes model governance and responsible AI practices, leads generative AI and language-model solutions, and ensures data quality and privacy compliance. Partners with business, regional, and global teams while managing and developing a multidisciplinary technical team.

Leads pharmaceutical sales and healthcare data analytics consulting projects, managing client communication, project delivery, team development, and innovative service creation. Analyzes prescription and real-world healthcare data to support commercial strategy, sales-force optimization, market assessment, and healthcare issue resolution. The role also contributes to business development, personnel development, and data-driven consulting for pharmaceutical, payer, provider, and government clients.

Mentor students in Nanodegree programs, provide project reviews and technical support, offering personalized feedback and responding to queries promptly.

Lead data strategy and delivery for Japan & South Korea, owning analytics portfolio, building AI/ML capability, driving advanced modeling, delivering data products, establishing governance, and advising OU leadership to convert data into business value.