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

JPN - Tokyo - Global Headquarters

Takeda

Takeda is a patient-focused, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future.

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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 are deeply embedded in all we do.

To further accelerate our transformation, we are growing our presence in Japan. As part of Takeda’s Data, Digital & Technology (DD&T) organization, the Innovation Capability Solutions & Services (ICSS) is a function that develops and delivers data & digital solutions and provides application maintenance, user support and incident management. We enable Takeda’s digital transformation through enhancing our internal data and digital capabilities to create a future-ready organization meeting the needs of patients, our people, and the planet.

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. 

The Opportunity

This role involves collaborating with business users to transform the organization into a data-driven one. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and machine learning, with a passion for solving complex problems and driving advancements in healthcare through data.

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.

RESPONSIBILITIES

  • Identify analytical opportunities and develop BI-related goals and projects.
  • Develop an analytics vision and programs with internal and external partners.
  • Conduct exploratory data analysis to inform drug development and patient care.
  • Strategize with IT 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.
  • Assist in defining requirements and facilitate workshops and prototyping sessions.
  • Apply machine-learning and deep-learning algorithms to enable advanced analytics.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: 

  • Bachelor’s Degree in Data Science, Statistics, Computer Science, or related field.
  • 3+ years of experience with statistical modeling and analytics tools (R, Python, Databricks).
  • Experience in predictive and prescriptive modeling, deep-learning, or other machine learning techniques.
  • Strong numerical and analytical skills, basic knowledge of 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, NoSQL.
  • Intermediate level proficiency in English if non-native Japanese, with a global mindset and willingness to work in a multi-national environment.

What Takeda 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.

Locations

JPN - Tokyo - Global Headquarters

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  1  0
Category: Data Science Jobs

Tags: Computer Science Data analysis Databricks Data Mining Data pipelines Data strategy EDA ETL Machine Learning NoSQL Pandas Pipelines Power BI Privacy Prototyping Python Qlik R R&D Research Scikit-learn Statistical modeling Statistics statsmodels

Perks/benefits: Career development Equity / stock options Flex hours Health care Salary bonus Startup environment

Region: Asia/Pacific
Country: Japan

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