Skip to main content

Search Our Jobs

Data Science Lead Emerging Markets

Zurich, Switzerland

Overview

Every day, employees working in Takeda’s Global Manufacturing and Supply Chain, and Global Quality business unit are shaping the future of healthcare. They are breaking down barriers and ensuring our life-changing medicines are available, accessible, and affordable to patients. Life-changing for you. Life-changing for patients.

Global Manufacturing and Supply Chain, and Global Quality is the backbone of Takeda, and our employees are the guardians for our patients, our products, and our reputation. As a member of our team, we can offer you the opportunity to grow in a meaningful career, develop your skills, and come to work every day knowing that what you do makes a genuine difference.

Back to Job Navigation (Overview)

Success

What makes a successful member of our team? Check out the traits we’re looking for and see if you have the right mix.

  • Agile
  • Ambitious
  • Analytical
  • Collaborative
  • Enthusiastic
  • Entrepreneurial

Back to Job Navigation (Success)

Back to Job Navigation (Life at Takeda)

Opportunity

  • Bold initiatives, continuous improvement, and creativity are at the heart of how we bring scientific breakthroughs from the lab to patients.

  • Here, you will feel welcomed, respected, and valued as a vital contributor our global team.

  • Through trust and respect, you will have genuine support from leaders, managers, and colleagues to do your best work.

  • A strong, borderless team, we strive together towards our priorities and inspiring mission.

  • Recognized for our culture and way of working, we’re one of only 13 companies to receive Top Global Employer® status for 2020.

  • Our people-first mission extends beyond patients to include their families, communities, and our own Takeda family.

Back to Job Navigation (Rewards)

Data Science Lead Emerging Markets

Apply Now
Job ID R0017265 Date posted 03/23/2020 Location Zurich, Switzerland

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that I agree with Takeda’s Privacy Notice, Privacy Policy and Terms of Use.

Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Global Data Science Lead in our Office in Zurich, Switzerland.

Here, you will be a vital contributor to our inspiring, bold mission.

As our Global Data Science Lead, you will be working in the GMS Emerging Market region. Your typical day will include:

  • Driving design, execution and implementation of the overall GMS Data Science strategy for the GMS Emerging Market
  • Develop and own detailed GMS Emerging Market scale-up and delivery execution road-map for data science and manages respective functional and cross-functional interdependencies.
  • Review data science possibilities/initiatives/requests in collaboration with IT and GMSGQ business stakeholders.
  • Manage, gather and execute GMS Emerging Market data science needs and execution of initiatives in collaboration with respective stakeholders and advise on the respective short and medium focus
  • Review and establishes internal and external data science capabilities within GMS Emerging Market
  • Provide the Data Science link across local, functional and global GMS Data Science, IT, Engineering and GMS Emerging Market.
  • Execute and drive the data science training for GMS Emerging Market in collaboration with GMSCI Data Science Training excellence.
  • Ensure GMS Emerging Market representation in GMSGQ data science community.
  • A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients
  • Provide patient-centred best in class GMS Data science for the GMS Emerging Market, establishes data science talent and elevate organisational performance

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

  • University degree of science/business: Advanced degree is required (Master/MBA and/or PhD), e.g. in Engineering, Mathematics, IT or Physics with focus on either Control Theory/Statistics/Mechatronics,Information/Operation, Management/Strategy, Technology and Innovation Management.
  • Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, Respective programming knowledge
  • Fluent in English

Digital & Data Science Skills:

  • Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.), 
  • Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous
  • Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
  • Strong knowledge of Statistical Process Control Expertise in Bayesian statistics:
  • Experience in Density estimation
  • Solid knowledge in Bayesian Hypothesis Testing. Knowledge in ANOVA and forecasting techniques (ARIMA, RMA, NARX)
  • Expertise in Signal Processing, Control Systems, Mechatronics
  • Learning algorithms, respective programming knowledge
  • Capabilities to translate business needs into data analytics concepts and the other way
  • Hands-on, able to implement and execute data science initiatives, analysis, machine learning
  • High level project management skills

WHAT TAKEDA CAN OFFER YOU

At Takeda, we are transforming the pharmaceutical industry through our R&D driven market leadership and being a values-led company. To do this, we empower our people to realise their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Empowering Our People to Shine

Discover more at takedajobs.com

Locations

Zurich, Switzerland

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job ID R0017265

Apply NowEmail Me

Back to Job Navigation (Responsibilities)

Explore the Area

Check out where you could be
working if you apply.

View Map