RIT Solutions, Inc. · 3 days ago
data scientist/data modeler/AI/ML SME(Developer Advocate)
United States
Full-time
Remote
Mid, Senior LevelRIT Solutions, Inc. is seeking a Developer Advocate for their Global Data Assets & Analytics team. This role focuses on bridging the gap between the data science community and the DSE platform, enabling data scientists to model and operationalize their solutions while fostering a thriving developer community.
Staffing & Recruiting
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
Provide technical support to data scientists, answering questions, troubleshooting issues, and offering guidance on best practices
Participate in and organize events like hackathons, workshops, and meetups to facilitate interaction and knowledge sharing
Build relationships with key influencers, community leaders, and other organizations to extend the platform's reach and amplify its messages
Act as evangelists for GDA&A's technologies, platforms and data products, showcasing their value and potential through various channels
Participate or facilitate in internal workshops and events to promote Bayer's offerings and inspire developers to build innovative solutions
Qualification
Required
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
Preferred
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
Company
RIT Solutions, Inc.
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201-500 employees
H1B Sponsorship
RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase