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.

Staff Data Steward 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Staff Data Stew, are to: 

• Drive and lead the operational Data management, curation and stewardship in support of operational Vegetable Research and Development (R&D) workflows, Pipeline Lifecycle, Experiments and Trails for all Nursery and Field workflows;
• Understand business capability needs and processes as they relate to Information Technology (IT) solutions through partnering with IT and business stakeholders;
• Identify gaps in requirements and recommend updates and changes to requirements based on business subject matter domain expertise;
• Implement and utilize data solutions for data analysis and profiling using a variety of tools such as Postman, R or Python and following team’s established processes and methodologies;
• Partner with Global Data Steward Lead to continue development of tools to proactively catch data anomalies and communicate to app and data owners;
• Lead Open Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer Crop Science's effectiveness in carrying out its mission;
• Develop and lead trainings and discussions to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling and Best Practices;
• Collaborate with other data stewards and engineers within the team and across teams, align delivery dates, integration efforts curate central data applications and documentation;
• Define data quality rules and implement automated calculations, monitoring, reporting, and remediation solutions;
• Utilize root cause analysis to identify trends and assess impact of data quality issues, partner with regional stakeholder teams to correct data issues and workflows;
• Project Management and platform deployment of key IT data and software solutions within the experiments and trials space, supporting all workflows delivering data to advance products within Vegetable R&D;
• Develop scripts that automatically correct data issues or fix them manually to meet global germplasm development and advancement needs;
• Support data migration from legacy systems, data inserts and updates not supported by applications.

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 Computer Science, Engineering, Science, Agriculture or other related field with nine years of experience, or Master’s degree with seven years of experience, or a Ph.D. with one year of experience in pedigree, inventory, field, and nursery data structures;
• Experience querying SQL and/or NoSQL databases and basic experience using APIs;
• Experience manipulating, correcting, and updating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications);
• Experience profiling data, summarizing, and reporting data quality metrics;
• Demonstrated ability to deliver detailed technical documentation to stakeholders;
• Experience participating in the build and support of APIs using resource-based design principles;
• Superficial experience with modern engineering technologies and data principles, for instance, Big Data Cloud Compute, NoSQL, etc.;
• Demonstrated critical in-depth domain knowledge that provides insight and authority to working groups;
• Experience participating in the build and support of APIs;
• Understanding of agile development, continuous deployment, DevOps, and decision science – AI, ML, OR, etc.

#LI-US