Data Scientist, Associate Director or Manager

Key Skills

Java Programming, Python Programming, C++, Database, SQL, Big Data Technology, Aartificial intelligence, Machine learning techniques, Data Mining, Data Visualization, MATLAB Programming, Data Analytics, R Programming, MS Dynamics

Job Description

Data scientists are on a mission to enhance performance through Advanced Data Analytics.

The core purpose of this position is to drive the local execution and implementation of the GMSGQ Digital and Data science strategy and initiatives.

The Data Scientist is responsible for executing local data analytics initiatives and provides the link between local and global GMSGQ data analytics.

ACCOUNTABILITIES

• Gathers and identifies local data analytics possibilities/initiatives/requests in collaboration with stakeholders at site, IT and global GMSGQ data analytics.
• Drives creating roadmap of site and execute local implementation in alignment with GMSGQ data analytics roadmap initiatives.
• Drives local data analytics initiatives, such as for Predictive Maintenance, Down Time Analysis and respective Database management.
• Manages and drives local process monitoring and process improvement in collaboration with global GMSGQ data analytics (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools)
• Manages, drives and executes respective reporting in collaboration with global GMSGQ data analytics (e.g. automated daily/monthly/annual, Stability Analysis Targets)
• Supports and participates in global/functional/local GMSGQ data analytics community.
• Coach and support not only data scientists (relatively junior), machine learning engineers and data scinece specialists, but also people in production/manufacturing science to accelerate Digital Transformation with increasing knowledge and capability of data analysis.

DIMENSIONS AND ASPECTS

Technical/Functional (Line) Expertise

Excellent organizational and coaching skills essential Expertise and experience in Digital / Data sceince / Artificial Intelligence / Machine Learning:

• Expertise in Signal Processing, Control Systems, Mechatronics
• Knowledge of Statistical Process Control
• 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
• Experience in quality mapping of parameters is a plus

Expertise in Bayesian statistics:

• Experience in Density estimation
• Knowledge in Bayesian Hypothesis Testing,
• Knowledge in ANOVA and forecasting techniques (ARIMA, ARMA, NARX)
• Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
• Leadership
• Takeda expects all employees to embody the following:
• Values and Priorities
• Values – Integrity, Honesty, Fairness, Perseverance
• Priorities – Patient Trust, Reputation, Business

• Develop and execute site Big Data and analytics strategy
• Influence people at all levels in the business – demonstrated ability to influence at all levels

• Provide coaching, guidance and direction to members in day-to-day works
• Activate group members by excellent communication and team building skills

Decision-making and Autonomy

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Interaction

• Need to collaborate with global GMSGQ data analytics
• Work with stakeholders throughout the organization to identify opportunities for leveraging the site data to drive business solutions
• Coordinate with different functional teams to implement models and monitor outcomes

Innovation

• Work in a dynamic cross-functional site setting to dliver results in a matrixed environment.
• Mine and analyze data from site databases to drive optimization and improvement of quality, productibity and business strategies

Complexity

• Must have a combination of hard skills (like learning Python and SQL) and soft skills (like business skills or communication skills)
• Scientists are responsible for:
• Advising companies on data potential
• Gaining new insights and transforming them into business goals
• Developing solutions that improve business performance through advanced statistical analysis, data mining, and data visualization technologies

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

Education / experience

• University degree of science/business. BSc degree is required, e.g. in Engineering, Mathematics, IT or Physics background with focus on e.g. Control Theory/ Statistics/Mechatronics, Information/Operation, Technology, Innovation Management
• Capabilities to translate business needs into data analytics concepts and the other way
• Hands-on, able to implement and execute initiatives
• High level project management skills
• Ability to interface with international stakeholders and to connect internal and external data analytics experts of both academia and industries
• Fluent business English capability
• Fluent written and spoken Japanese mandatory