US - Developer Advocates

Bayer AG; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Bayer AG is seeking a Data Science Platform Evangelist to bridge platform engineering and the data science community within Global Data Assets & Analytics. You will empower internal data scientists to build, deploy, and operationalize solutions through education, advocacy, and hands-on guidance.

You will gather feedback, create documentation and tutorials, organize events, and collaborate with data scientists, engineers, and product managers to guide platform direction and improve developer

Qualifications

• Master's or PhD in Computer Science, Data Science, Software Engineering, or related field.
• Strong communication and collaboration skills across diverse audiences.
• Experience with data science platforms and MLOps practices is preferred.

Responsibilities

• Partner with data science community members to implement best practices and align solutions with platform vision and roadmap.
• Develop, contribute, and maintain tools that simplify platform operations and enhance developer productivity.
• Create comprehensive educational content including technical documentation, tutorials, and training materials for diverse audiences.
• Provide technical support to data scientists through documentation, communication platforms, and direct engagement.
• Gather, synthesize, and communicate developer feedback to engineering teams, advocating for community needs and platform improvements.
• Foster and grow an engaged data science community through relationship building with key influencers and community leaders.
• Organize and facilitate community events such as hackathons, workshops, and meetups to promote knowledge sharing and collaboration.
• Troubleshoot technical issues and offer guidance on best practices for modeling and operationalizing solutions.
• Act as an evangelist for platforms, technologies, and data products, showcasing their value through various channels and events.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to optimize utilization of shared tools.
• Participate in internal workshops and events to promote organizational offerings and inspire innovative solution development.
• Translate complex technical concepts into accessible content for stakeholders with varying levels of technical expertise.
• Advocate for developer needs with product and engineering teams to help shape future platform direction.

Skills

Python

R

Pandas

NumPy

Scikit-learn

Data visualization

Documentation

Communication

MLOps

Git

CI/CD

Cloud platforms

Containers

Kubernetes

Stakeholder communication

Community building

Education

Master's or PhD in CS/DS/SE

Tools

Job description

Job Summary: This position serves as a vital connection between platform engineering teams and the data science community, focusing on empowering data scientists to successfully build, deploy, and operationalize their solutions. Working within Global Data Assets & Analytics, you will enable internal consumers across Crop Science to leverage cutting-edge platforms and data products effectively. Your role extends beyond traditional technical support to encompass education, advocacy, and community building, ensuring that data scientists can maximize their productivity while adhering to best practices. You will gather insights from the developer community, translate technical concepts into accessible content, and work collaboratively with cross-functional teams to shape the future direction of data science platforms and tools. This is an opportunity to make a meaningful impact by bridging the gap between technology and its users, fostering innovation, and driving the success of enterprise-scale data science initiatives.

Responsibilities

• Partner with data science community members to implement best practices and align solutions with platform vision and roadmap
• Develop, contribute, and maintain tools that simplify platform operations and enhance developer productivity
• Create comprehensive educational content including technical documentation, tutorials, and training materials for diverse audiences
• Provide technical support to data scientists through multiple channels including documentation, communication platforms, and direct engagement
• Gather, synthesize, and communicate developer feedback to engineering teams, advocating for community needs and platform improvements
• Foster and grow an engaged data science community through relationship building with key influencers and community leaders
• Organize and facilitate community events such as hackathons, workshops, and meetups to promote knowledge sharing and collaboration
• Troubleshoot technical issues and offer guidance on best practices for modeling and operationalizing solutions
• Act as an evangelist for platforms, technologies, and data products, showcasing their value through various channels and events
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to optimize utilization of shared tools
• Participate in internal workshops and events to promote organizational offerings and inspire innovative solution development
• Translate complex technical concepts into accessible content for stakeholders with varying levels of technical expertise
• Advocate for developer needs with product and engineering teams to help shape future platform direction

Skills

• Proficiency in Python or R programming languages
• Experience with data science libraries including pandas, NumPy, and scikit-learn
• Expertise in data visualization tools and techniques
• Excellent verbal and written communication skills with ability to engage diverse audiences
• Strong technical documentation and educational content creation abilities
• Collaborative working style with cross-functional team experience
• Understanding of data science platforms and MLOps practices
• Knowledge of model deployment strategies and workflows
• Strong understanding of cloud platforms and data science workflows
• Experience with containerization and orchestration technologies
• Knowledge of version control systems, particularly Git
• Understanding of code review processes and CI/CD pipelines
• Ability to synthesize and communicate feedback between technical and business stakeholders
• Strong problem-solving and troubleshooting skills across diverse technical environments
• Community building and engagement capabilities

Qualifications

• Master's or PhD degree in Computer Science, Data Science, Software Engineering, or a related technical field

This is an exciting opportunity to shape the future of data science within a global organization while making a tangible impact on how data scientists work and collaborate. You will be at the forefront of innovation, working with cutting-edge technologies and platforms while building meaningful relationships across a vibrant technical community. Your contributions will directly influence product development and platform evolution, ensuring that the tools and resources available to data scientists continue to meet their evolving needs. If you are passionate about empowering others, thrive in collaborative environments, and want to be part of a team that values both technical excellence and community engagement, this role offers the perfect blend of technical challenge and interpersonal impact.