data scientist/data modeler/AI/ML SME(Developer Advocate)

A Developer Advocate at Global Data Assets & Analytics (GDA&A) for the Decision Science Ecosystem platform serves as the bridge between the DSE platform team and the data science community. This role focuses on enabling data scientists to successfully model and operationalize their solutions on the DSE platform.


The role targets internal Crop Science consumers, delivering solutions that integrate with Global Data Assets products including Location360, Market360, Product360, and Crop Science Warehouse (CSW). The scope extends beyond DSE to enhance delivery value across all GDA&A teams by optimizing utilization of shared tools and data products.


Key Responsibilities:
• Partner with member of the Data Science community to implement best practices and align with platform vision
• Develop and contribute tools that simplify platform operations
• Create educational content and provide technical support
• Gather developer feedback and advocate for community needs
• Foster a thriving data science community


Technical Support and Guidance
They provide technical support to data scientists, answering questions, troubleshooting issues, and offering guidance on best practices and bring these learnings to the platform teams for further product improvement. This support can be delivered through various channels, including documentation, Microsoft teams channels, direct communication, and in-person events.


Community Building and Engagement
Developer Advocates foster an engaged developer community around GDA&A's platforms and technologies. They participate in and organize events like hackathons, workshops, and meetups to facilitate interaction and knowledge sharing, aligned with platform's roadmaps. They build relationships with key influencers, community leaders, and other organizations to extend the platform's reach and amplify its messages.
Feedback Gathering and Advocacy
They actively gather feedback from developers about their experiences with GDA&A platforms and technologies. This feedback is then communicated to the engineering, advocating for developer needs and helping to shape the future direction of products.
Evangelism and Promotion
Developer Advocates act as evangelists for GDA&A's technologies, platforms and data products, showcasing their value and potential through various channels. They participate or facilitate in internal workshops and events to promote Bayer's offerings and inspire developers to build innovative solutions.


Who you are
In essence, a Developer Advocate is a technical expert, communicator, community builder, and advocate, all rolled into one, working to empower developers and drive the success of Global Data Assets & Analytics and its ecosystem.


Qualification & Competencies:
• Master's or PhD degree in Computer Science, Data Science, Software Engineering, or a related technical field
• Proficiency in programming languages commonly used in data science such as Python or R, with experience in libraries like pandas, NumPy, scikit-learn, and data visualization tools
• Excellent verbal and written communication skills with ability to translate complex technical concepts into accessible content for diverse audiences
• Experience in creating technical documentation, tutorials, and educational materials
• Demonstrated ability to work collaboratively with cross-functional teams including data scientists, engineers, and product managers
• Understanding of data science platforms, MLOps practices, and model deployment strategies
• Strong understanding of cloud platforms and data science workflows, particularly with containerization and orchestration technologies
• Knowledge of software development best practices including version control (Git), code review processes, and CI/CD pipelines
• Ability to gather, synthesize, and communicate feedback effectively between technical and business stakeholders
• Strong problem-solving skills with experience in troubleshooting technical issues across diverse environments


Nice-to-Haves:
• Experience with the DSE (Decision Science Ecosystem) platform or similar enterprise data science platforms
• Knowledge of agricultural domain applications and crop science use cases
• Familiarity with Location360, Market360, Product360, and Crop Science Warehouse (CSW) products
• Experience organizing or facilitating hackathons, workshops, and technical meetups
• Background in developer relations, technical evangelism, or community management roles
• Understanding of containerization technologies (Docker, Kubernetes) in data science contexts
• Experience with data formats and interface description languages such as Protobuf
• Experience with content creation including blog writing, video production, or podcast participation
• Understanding of machine learning model governance and compliance requirements in enterprise environments