Senior Data Scientist (w/m/d)

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Job Description

About the role:

The Vienna Manufacturing Sciences function is extending its team by an additional data scientist. Our development in the area of data engineering enables us to progress beyond advanced analytics well into the area of predictive analytics. To accompany this vital step we are looking for the right people, who not only enjoy math, statistics, programming and big data, but realise that data science is a team sport and can find meaning in Takeda’s mission of providing Better Health and Brighter future to its patients. At Takeda, your data skills will change lives.

How you will contribute:

The Data Scientist:

  • Gathers and identifies local data science possibilities/initiatives/requests in collaboration with the local team, IT, Engineering, Quality and global data science

  • Drives the local implementation of the global data science roadmap

  • Manages and drives local process monitoring and process improvement, e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools

  • Supports and participates in global/functional/local data science community.

  • Provides patient-centered best in class Data science, enhances local data science

What you bring to Takeda:

  • University degree in science or business; e.g. Master’s/MBA or PhD in Engineering , Mathematics, IT or Physics with a focus on either Control Theory/Statistics/Mechatronics, Information/Operation, Management/Strategy/Economics, Technology and Innovation Management

  • Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence

  • Experience in Machine Learning algorithms (CNN, SVM, LSTM)

  • Programming knowledge - MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous

  • Experience in quality mapping of parameters is a plus

  • Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset

  • Strong knowledge of Statistical Process Control Expertise in Bayesian statistics : Density estimation, Bayesian Hypothesis Testing, ANOVA and forecasting techniques (ARIMA, RMA, NARX)

  • Expertise in Signal Processing, Control Systems, Mechatronics

  • Fluency in English

  • Project management skills

What Takeda can offer you:

A competitive remuneration package with a minimum salary of € 5.227,71 gross per month (full-time, collective wage agreement for the chemical industry) - the actual salary depends on your professional experience and qualifications. Up to 60% work@home possible.

Family-friendly company environment; Support with parental leave, dad month, Bilingual company kindergarten

Comprehensive training programs

In-house job rotation program

In-house Canteen with discounts or meal vouchers

Works council (events, festivals, shopping vouchers, etc.)

Employee Referral Program

Employee Recognition Program

Takeda Resource Groups

Medical checkups

Free vaccination program

Fitness Center

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.

Empowering our people to shine:

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, or any other characteristic protected by law.


AUT - Wien - Industriestrasse 67

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