Sr. Data Scientist/Data Scientist IV, Manufacturing Science and Technology

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.

An individual in this position is responsible for advanced technical bioprocess data science and batch performance improvements that add continuous value to the business operations. The incumbent’s influence can have a significant impact on the harvested value in reductions of cost of goods sold, favorable material variances, real-time process visualizations and through advancing industrial data science/statistics initiatives.
 
The incumbent must: 
- Balance and prioritize project work according to business objectives.  Balance multiple competing global and regional projects of varying complexity and prioritize project work within the group according to business objectives.
- Interact with counterparts in other divisions and regions.
- Ensure work is compliant with applicable procedures and requirements which vary by geographic region and agency.

The incumbent will interface with multiple Global Supply functions including IT Operations & Laboratories, IT Enterprise Data Services, Global Manufacturing Science and Technology, Global Facilities Engineering, Local Automation Engineering, Quality Control, and Quality Assurance, and Global Supply Leadership Teams.  The incumbent will also represent the department and the company to external bodies including industry groups, and when necessary regulatory bodies. 

Incumbent will participate on project teams, independently representing MSAT Data Analytics group perspectives. They will help to guide Data Management and Data Analytics  positions, negotiate with members of other functions to influence study design, ensure compliance, and accurately interpret and report statistical principles and analysis results; will also contribute computer science expertise in other areas as Company business needs require. 

Duties & Responsibilities

Guides the organization on strategy of advanced manufacturing analytics, and artificial intelligence (AI)/data science capabilities.
Designs and builds advanced hybrid and mechanistic process models, discovering insights and identifying opportunities using statistical and algorithmic methods (Machine Learning – E.g. PCA, PLS, OPLS) and industrial data science techniques.

• As a critical thought leader in IT/OT convergence as it related to suitable data acquisition, data management, and data analysis; Identifies and resolves causes of poor data quality management, implements solutions and communicates findings to employees, management, and stakeholders.
• Collaborates with Business Process owners and Data Stewards to develop methods for synchronizing data entering company systems.
• Models the behaviors of championing data as an asset.
• Works together with IT developers for the continuous improvement and maintenance of back-end database and reporting/analytics data exchange.  
• Drives and develops new ideas from the team to foster improvements through innovation.  
• Performs ongoing data analysis to develop a deep understanding of the impact on data with continuous improvement ontologies for business unit dynamics.
• Examines patterns in the data and coordinate with business unit to define opportunities for deep-dive analyses.
• Develops and implements a process for cross-checking validity of data pulls made by other members of the Global Manufacturing Science and Technology.
• Clearly communicate all aspects of data management requirements and functionality relative to Advanced Analytics outcomes to a diverse group of global stakeholders at all levels and locations of the organization.
• Maintain cutting edge industrial knowledge including a demonstrated ability to interpret and adapt primary literature, trade forums, and user meetings evaluating and when profitable, adapting new/emerging technologies to ongoing MSAT projects to enhance Global MSAT Data Analytics Product Groups.
• Prepare and deliver clear and concise well-organized content summaries to Data Analytics department head, global steering committees, MSAT forums, and technology boards. Effective communications and reporting.
• Aligned performance feedback from critical stakeholders across the IT, GBS, GFE, Digital Operations