Lead, Data Scientist, Global DD&T(Data, Digital & Technology), Japan

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Job Description

The Future Begins Here

At Takeda, we are leading the digital transformation globally in the biopharmaceutical industry, leveraging technology to transform the way we develop and deliver life-changing treatments for patients. We are looking for talented individuals like you to join our dynamic team!

As we strive to become one of the most trusted, science-driven digital biopharmaceutical companies in the world, data, digital and technology (DD&T) are deeply embedded in all we do.

To accelerate our transformation, we continue our investment in data, digital and technology and further growing our digital capabilities in Japan. Our aim is to embed DD&T across our organization, to create a future-ready organization meeting the evolving needs of patients, our people, and the planet.

This is a role belong to our Global DD&T function in Japan. In this role, you will have the opportunity to boost your skills and become a part of a mission that makes a real difference on lives around the world.

At Takeda We Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity

This role involves collaborating with business users to transform the organization into a data-driven one. The ideal candidate will have deep expertise in data science and machine learning, with a proven track record of leading data science projects and driving significant business impact. This role also includes technical leadership of a team of data scientists.

OBJECTIVES/PURPOSE

• Identify data-driven opportunities: Collaborate with business users across various functions (Commercial, Manufacturing/Quality, R&D, Corporate) to find opportunities for data-driven transformation.

• Develop analytics solutions: Translate processes and requirements into effective analytics solutions with a focus on data strategy, quality, and accessibility.

• Implement and improve decision support: Operationalize decision support solutions, drive their adoption, and gather feedback to enhance analytics services.

• Provide actionable insights: Apply quantitative techniques to deliver insights and ensure analytics models and data are accessible for decision-making.

• Evaluate and update analytics: Periodically assess data, models, and experiments to ensure they continue to provide business value as requirements evolve.

• Manage and Lead Data Culture: Manage data scientist team and promote the value of data utilization and foster a data-driven culture

RESPONSIBILITIES

• Identify analytical opportunities and develop BI-related goals and projects.

• Provide team management skills to lead and mentor the data science team, fostering a collaborative and innovative environment.

• Engage with business stakeholders to understand their needs, translate them into data science solutions, and provide strategic guidance.

• Develop an analytics vision and programs with internal and external partners.

• Conduct exploratory data analysis to inform drug development and patient care.

• Strategize with business IT units to collect, ingest, and deliver data with proper models.

• Define pain points and develop solutions with recommended data models and BI technologies.

• Ensure proper design of system databases and integration with enterprise applications.

• Design data models and visualization solutions for data mining and discovery.

• Apply machine-learning and deep-learning algorithms to enable advanced analytics.

• Define learning and development strategies for the data science team and develop the data science community within the organization.

• Identify and implement new tools, technologies, and methodologies to enhance the team’s capabilities.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:  

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

• 7+ years of experience with statistical modeling and analytics tools (R, Python, Databricks, SageMaker).

• Experience in predictive and prescriptive modeling, deep learning, or other machine learning techniques.

• Experience in BI application development, data warehousing, reporting, and SQL.

• Strong numerical and analytical skills, with proficiency in Python analytics packages (Pandas, scikit-learn, statsmodels).

• Ability to build and maintain scalable and reliable data pipelines.

• Proficiency in BI and Visualization tools (Qlik, Power BI), ETL, and NoSQL.

• Excellent written and verbal communication skills,

• Professional/business level proficiency in both English and Japanese.

• Proven experience in leading data science teams and projects, with the ability to mentor and develop junior data scientists.

• Global mindset and willingness to work in a multi-national environment, with strong problem-solving skills and a proactive approach to innovation.

WHAT TAKEDA JAPAN CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in Japan, but also globally. No investment we make pays greater dividends than taking good care of our people.

• At Takeda, you take the lead on building and shaping your own career.

• Joining the DD&T in Japan will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

Click here to find out Takeda’s Diversity, Equity & Inclusion

Better Health, Brighter Future

Takeda Compensation and Benefits Summary:

• Allowances: Commutation, Housing, Overtime Work etc.

• Salary Increase: Annually, Bonus Payment: Twice a year

• Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30, Production Sites (Osaka/ Yamaguchi) 8:00-16:45, (Narita) 8:30-17:15, Research Site (Kanagawa) 9:00-17:45

• Holidays: Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)

• Paid Leaves: Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.

• Flexible Work Styles: Flextime, Telework

• Benefits: Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.

Important Notice concerning working conditions:

• It is possible the job scope may change at the company’s discretion.

• It is possible the department and workplace may change at the company’s discretion.

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