NetworkPedia · 18 hours ago
Technology Evangelist- Data Science/AI/ML
United States
Contract
Remote
Mid, Senior LevelNetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. They are seeking a Developer Advocate to support and grow a large, global data science and AI/ML community, serving as a bridge between data scientists and enterprise data platforms.
Computer & Network Security
Responsibilities
Foster a strong developer and data science community around Global Data Assets & Analytics platforms
Organize and participate in hackathons, workshops, meetups, and internal events aligned with platform roadmaps
Build relationships with key influencers, community leaders, and partner organizations
Act as a trusted advocate for a large internal data science audience
Partner with data scientists, modelers, and ML practitioners to promote best practices and platform adoption
Provide technical guidance, answer questions, and troubleshoot issues across collaboration channels (Teams, documentation, events)
Gather feedback from the community and represent developer needs to platform and engineering teams
Create and contribute educational content such as technical blogs, tutorials, videos, and presentations
Act as an evangelist for enterprise data, analytics, and AI/ML platforms
Support internal promotion of AI-driven solutions and inspire innovation across teams
Enable data scientists to build, model, and operationalize solutions on enterprise data science platforms
Support solutions integrating with global data products such as Location360, Market360, Product360, and Crop Science Warehouse (CSW)
Collaborate across GDA&A teams to optimize shared tools and data products
Qualification
Required
Master's degree (required) in Data Science, Computer Science, AI/ML, or a related technical field
Strong background as a Data Scientist, Data Modeler, or AI/ML practitioner
Proficiency in Python or R, including libraries such as pandas, NumPy, scikit-learn, and data visualization tools
Experience with cloud-based ML platforms, preferably AWS SageMaker (GCP or Azure acceptable)
Understanding of MLOps practices, model deployment strategies, and data science workflows
Ability to read and understand code (no production coding required)
Excellent verbal and written communication skills with the ability to simplify complex technical concepts
Preferred
Experience with enterprise data science platforms (e.g., Decision Science Ecosystem or similar)
Familiarity with agricultural, crop science, or life sciences domains
Knowledge of containerization and orchestration (Docker, Kubernetes) in data science contexts
Experience with developer relations, technical evangelism, or community management
Experience creating blogs, videos, podcasts, or other technical content
Familiarity with ML governance, compliance, and enterprise data standards
Company
NetworkPedia
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase