Data Scientist IV / Senior Data Scientist, Global MSAT

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Data Scientist IV, Manufacturing Science and Technology is responsible for the delivery of successful data science projects. The incumbent will be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout the product lifecycle. This role will facilitate, distill and integrate data science information into the technical body of knowledge for BIAH products and processes. The position holder will explore data analytics innovations to support future definition of manufacturing platforms & processes.

 

The Senior Data Scientist, MSAT executes data science and advanced analytics projects across the company with the purpose of solving business problems by applying advanced industrial data science methods including real-time multivariate process modeling and predictions, machine learning, artificial intelligence, causal inference, advanced statistics, natural language processing and other related techniques. The incumbent will develop relationships with business partners to enhance understanding of business issues and create value for the organization. Executing data mining and analytics projects with high potential return and inventing/iterating novel solutions to challenging data-related problems will be the primary focus of the Data Scientist.

The SR Data Scientist, MSAT utilizes experience to manage complex projects including external support and develops, mentors or leads a team of more junior colleagues. Critical to ensure that the company utilizes a wide array of reliable data analysis techniques to deliver data-driven Operations Intelligence inside the Global Manufacturing Science and Technology organization (MSAT).

Specific areas of focus include delivering and optimizing solutions for data mining, aligning data processing and predictive algorithms with business goals, and transforming data into knowledgeable information.

Duties & Responsibilities - Data Scientist IV

Be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout product/process lifecycle:

• Uses data scientific techniques to uncover processes & correlations to expand & improve the body of knowledge for BIAH products & technology 
• Delivers optimized solutions for data mining, aligning data processing, predictive analysis and transform data into knowledgeable and understandable information.
• Partners with business units to develop dashboards and applications utilizing data for smart decision making.
• Promotes collaboration & knowledge exchange with other data science teams within and outside the organization.
• Provides thought leadership, research best practices, conduct experiments, & partner with industry leaders.

Facilitates, distills, and integrates data science information into the technical body of knowledge for BIAH products and processes:

• Uses data scientific techniques to uncover processes & correlations that expand and improve the body of knowledge for BIAH products & technology.
• Leads exchange and advocate for continual improved use of data across global and local Manufacturing Science and Technology teams.
• Identifies and resolves causes of poor data quality management, implements solutions & communicates findings.
• Actively supports all aspects of the BI data governance standards and programs.
• Continually develops and maintains an appropriate individual level of theoretical and practical expertise to respond to the needs of BIAH.

Explore data analytics innovation to support future definition of manufacturing platforms & processes:

• Actively networks on a regular basis with internal and external partners.
• Autonomously seeks out new ways of using & connecting data for use in existing or new manufacturing processes.
• Autonomously researches and recommends future-oriented platforms for analytics enablement efforts.

As needed, deliver successful data science projects:

• Understands manufacturing / supply problems and design end-to-end da