Location
Chesterfield, MO | United States
Job description
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Planning Data Scientist
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Planning Data Scientist, are to:
- Conceptualize, build, organize and support data structure to capture planning and financial demand for long range plans currently focused on 1-3 year outlook
- Represent planning on system connectivity across crop science related to LRP forecast accuracy, data standardization and data connectivity
- Transform data collection processes into valuable information enabling critical strategic decisions on the operational and financial future of crop science, influencing complex business challenge outcomes
- Execute data mining, extraction and connection from various data source into a standard, simplified form across multiple Crop Science data platforms, including Velocity, Crop Science Warehouse, FTS, LUMOS, Data One, along with additional analytical models and systems
- Developing sustainable, consumable, accurate, and impactful reporting on model inputs and outputs, business impact, and key performance indicators.
- Present information in a clear,concise and consistent manner to a broad spectrum of organizational leaders using multiple automated systems such as Spotfire, PowerBI
- Collaborate across Business, IT and Analytic partners to create a roadmap of data congruency and consistency Data Wrangling – proficiency in handling imperfections in data and establishing processes to improve reliability Enhance data collection procedures to include all relevant information from multiple sources and technologies
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- Bachelor’s degree, in any of the following functional areas, Plant Breeding, Manufacturing, Planning, Seed Production
- Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, or Pig.
- Experience with Data Visualization tools such as Spotfire, Power BI, or Smartsheets
- Demonstrated advanced problem-solving abilities;
- Combine strong conceptual and analytical skills with the ability to motivate senior managers and cross organizational teams to collaborate;
- Ability to influence, persuade and collaboratively build relationships with internal and external customers as well as the ability to drive corrective action when necessary;
- Ability to lead projects of high complexity with limited direction; Strong attention to detail; Proficient with Microsoft Office tools; Fluency in English. Preferred Qualifications:
- Experience in Breeding methodologies, Trait Integration or Genotyping
- Working knowledge of machine learning methods and algorithms
- Have a broad understanding of various disciplines and issues impacting manufacturing and supply chain operations around the world (e.g. regulatory and environmental issues, quality control, etc.)
Preferred Qualifications:
- Master’s degree or Ph.D. in Plant Breeding, Manufacturing, Planning, Seed Production with
- 1 -5 years of experience
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location:
United States : Missouri : Chesterfield || United States : Arizona : Tucson || United States : Arizona : Yuma || United States : Illinois : Stonington || United States : Illinois : Waterman || United States : Indiana : Whitestown || United States : Iowa : Ankeny || United States : Iowa : Huxley || United States : Iowa : Storm Lake || United States : Iowa : Urbandale || United States : Iowa : Williamsburg || United States : Maryland : Galena || United States : Minnesota : Glyndon || United States : Minnesota : Stanton || United States : Mississippi : Scott || United States : Nebraska : Waco
Division:
Crop Science
Reference Code:
811833
Contact Us
Email:
[email protected]
Job tags
Salary
