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Takeda

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

Posted 6 Days Ago
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Hybrid
Tokyo
Mid level
Hybrid
Tokyo
Mid level
The Data Scientist role at Takeda focuses on transforming the organization into a data-driven entity. Key responsibilities include collaborating with business users to identify opportunities for data-driven transformation, developing analytics solutions, implementing decision support, providing actionable insights, and periodically evaluating analytics effectiveness.
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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

Top Skills

Python
R

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