Lead Data Scientist

2020-04-23 | po-019810

Company description

One of the largest pharmaceutical company in Japan and Asia and a top 10 pharmaceutical company in the world. Established 1781 in Osaka, Japan.

Four areas: Cancer, Gastrointestinal, Neurology, and Vaccine

The company has over 30,000 employees worldwide and achieved 16.2 billion USD in revenue during the 2012 fiscal year. The company is focused on metabolic disorders, gastroenterology, neurology, inflammation, oncology and vaccines through its independent subsidiary, Oncology. Its headquarters is located in Chuo-ku, Osaka, and it has an office in Nihonbashi, Chuo-ku, Tokyo.

In January 2012, Fortune Magazine ranked as one of the 100 best companies to work for in the United States. Has been certified this year as a Top Global Employer by the Top Employers Institute — one of only 13 companies world wide, and one of just two pharmaceutical companies.

52% Men / 48% Women.

Average stay is 14.5 years.

Responsibilities

1. Drives the design, execution and implementation of advanced analytics for GMSGQ (e.g. Continuous Process Improvement, end-to-end Simulation, advanced statistics, modeling simulation).

2. Develops and owns detailed scale-up and delivery execution roadmap for data analytics within GMSGQ and manages respective functional and cross-functional interdependencies.

3. Owns, manages and executes process monitoring and process improvement in collaboration with local and functional GMSGQ data analytics (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).

4. Owns, manages and executes respective Reporting in collaboration with local GMSGQ and functional data analytics (e.g. automated daily/monthly/annual, Stability Analysis Targets).

5. Gathers, identifies and reviews GMSGQ data analytics possibilities/initiatives/requests　in collaboration with IT and GMSGQ business stakeholders. Advises on the respective short and medium focus.

6. Drives and executes on digital GMSGQ Strategy, Technology and Innovation (e.g. Productivity Analysis, Key Performance Indicator tracking, Interdependencies, Evolution of Internet of Things)

7. Builds up and owns global/functional/local GMSGQ data analytics community.

Requirements

1. Expertise and experience in Digital/Big Data Analytics/ Artificial intelligence/Machine Learning.

2. Expertise in Signal Processing, Control Systems, Mechatronics.

3. Strong knowledge of Statistical Process Control.

4. Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.),

5. Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous.

6. Experience in quality mapping of parameters is a plus.

7. Expertise in Bayesian statistics.

8. Experience in Density estimation.

9. Solid knowledge in Bayesian Hypothesis Testing.

10. Solid knowledge in ANOVA and forecasting techniques (ARIMA, ARMA, NARX).

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

12. 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.