Quality Data Science and Optimization Specialist

Quality Data Science and Optimization Specialist

Responsibilities

• Through data analytics, help QT team and stakeholders to identify trends in quality results that can be translated into opportunities for process improvement and decision making.
• Build predictive models enabling the anticipation of decisions.
• Produce reports or dashboards that translate the data and the analyses into business insights.
• Be the focal point for global networks on data management and global or regional quality testing communities as needed, participating in calls and meetings as required.
• Improve/ implement formal data practices across the organization.
• Lead implementation of new technologies for the development and maintenance of a cohesive data strategy that allows automation and digitalization of our processes, aligned with regional and global efforts.
• Design experiments dedicated to investigating factors identified as stakeholders’ requirements or to validate new technologies (new traits, Seed Applied Solutions, platforms and method transfer).
• For Physiology coordinate experimental design and execution for new methodologies (method transfer), Lab2Land exercises as part of validation, improvement and projects, register and communicate proper Management of Change.
• In coordination with the other lab team members, coordinate project execution, conduct data analysis to identify trends able to drive solution or improvement. In addition, jointly implement findings in a practical way into quality testing operations with the support of One PSS change management methodologies.
• Perform all tasks following the standards of Safety, Quality, Health, Environment, Biosafety, Stewardship and Product Supply System defined by the Company and Legal Entities.

Qualifications

• BS Degree in Statistics, Mathematics, Computer Science/ Engineering, Information Systems or related areas; graduate studies desirable (MS or PhD).
• At least three years of experience as a programmer/ analyst/ data management in a technical or scientific environment.
• Knowledge of Statistics and use of analytical software such as MiniTab and Spotfire.
• Knowledge of SQL and programming languages like Python or R.
• Experience of AWS and other cloud computing technologies and platforms.
• Lean and Six Sigma.
• Desirable experience in Lab and/or seed industry.
• Proven capability to Collaborate in an interdisciplinary scenario with a wide variety of contributors and stakeholders.
• Flexibility to adapt to changing needs in Quality Testing keeping the customer focus and driving results.

At Bayer we believe in diversity, equity and inclusion. We aim to create an environment in which everybody can feel authentic, respected and equally valued. Every day we strive to reflect our values through our unique capabilities, self-experiences, and aspirations. We intentionally seek diversity, to enable our people to bring their fullest potential out and encourage others to likewise do so. Our company wins when we leverage our capabilities to lead the cultural transformation in our business, positively impacting society.

Candidates who meet the requirements based on the job profile will be considered for employment regardless of physical disability, race, color, religion, sex, age, sexual orientation, gender identity and will not be at a disadvantage if unemployed.