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About the role:
As the Data Scientist you will report to the Head of Manufacturing Sciences. In this role you will support the execution for local implementation of GMS data science roadmap initiatives.
How you will contribute:
Supports in managing and driving local data science initiatives according to prioritization (e.g. Yield Improvement, Quality Attribute monitoring, etc.). Manages the respective functional and cross-functional interdependencies accordingly.
Supports in managing and driving local process monitoring and process improvement in collaboration with global GMSdata science (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools) and AGILE/Operational Excellence team.
Supports in managing, driving and executing respective reporting in collaboration with global GMS data science (e.g. automated daily/monthly/annual).
Supports and participates in global/functional/local GMS data science community.
Drives necessary local trainings.
Supports the local execution und implementation of GMS Data Science strategy and initiatives.
Supports in managing and executing local data science initiatives.
Gathers and identifies local data science possibilities/initiatives/requests in collaboration with local team, IT, Engineering, Quality and global GMS data science.
Supports and leads Continued Process Verification Plans, Continuous Improvement, Investigations, and trainings.
What you bring to Takeda:
Education and Experience Requirements
University degree of science/business/engineering: Advanced degree (Bachelor and/or Master/MBA) in highly quantitive field, e.g. in Engineering, Mathematics, Statistics, Data Science, IT, Economics, or Physics
Hands-on experience in applying and executing Artificial Intelligence/Deep Learning, Machine Learning, Big Data and Digital with respective programming knowledge.
Contribution to github repositories and stackoverflow and participations in competitions, e.g. on kaggle, data challenges, hackathons are advantageous.
Key Skills, Abilities, and Competencies
Strong expertise and experience in Machine Learning, Big Data and Digital.
Respective programming knowledge in Python/R/C is required. Further programming experience is advantageous.
Proficiency in database languages (SQL), understanding of data models and databases.
Compositional data analysis and analyzing time series data.
Distributed computing, stochastic modelling, sampling methods and randomized algorithms.
Proficiency with basic Statistics concepts.
Complexity and Problem Solving
Change management complexity.
Capabilities to translate business needs into data analytics concepts and the other way.
Hands-on, able to implement and execute initiatives.
Responsible for day to day operation of local data science function, covering all data science levels and related technologies.
Translate data science and machine learning trends and technology into execution.
Internal and External Contacts
Impact across GMS portfolio ( Role requires partnership with local functions, IT, Engineering, Quality and Global Data Science team).
Ability to interface with international stakeholders and to connect internal and external data analytics experts of both academia and industries.
Clear partnership with Quality is required to ensure alignment for data science processes.
What Takeda can offer you:
Comprehensive Healthcare: Medical, Dental, and Vision
Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
Health & Wellness programs including onsite flu shots and health screenings
Generous time off for vacation and the option to purchase additional vacation days
Community Outreach Programs and company match of charitable contributions
Family Planning Support
Professional training and development opportunities
Tuition reimbursement
Important Considerations
At Takeda, our patients rely on us to deliver quality products. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product. In this role, you may:
Work in a controlled environment requiring special gowning and wear protective clothing over the head, face, hands, feet and body. This may include additional hearing protection for loud areas.
Need to remove all make-up, jewelry, contact lenses, nail polish and/or artificial fingernails while in the manufacturing environment.
Work in a cold, wet environment.
Work multiple shifts, including weekends, or be asked to work supplemental hours, as necessary.
Work around chemicals such as alcohol, acids, buffers and Celite that may require respiratory protection.
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
This posting excludes Colorado applicants.
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EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.