Technology Evangelist- Data Science/AI/ML

Job Title:
Developer Advocate – Data Science / AI / ML

Location:
Remote (EST or CST time zones preferred)

Employment Type:
Contract (W2)

About the Role

We are seeking a
Developer Advocate
to support and grow a large, global
data science and AI/ML community
. This role sits at the intersection of
technology, communication, and community building
, serving as a trusted bridge between data scientists and enterprise data platforms.

The ideal candidate is a strong communicator with hands-on data science knowledge, capable of reading and understanding code (without writing production code), organizing hackathons and workshops, and advocating for the needs of
600+ data professionals
.

Key Responsibilities

Community Building & Engagement

• 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

Developer Advocacy & Enablement

• 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

Content, Evangelism & Promotion

• 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

Platform & Ecosystem Support

• 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

Mandatory Skills & Qualifications

• 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 / Nice-to-Have Skills

• 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

Why Join Us

• High-visibility role supporting a large global data science community
• Opportunity to shape how AI/ML platforms are adopted and scaled enterprise-wide
• Blend of technical influence, communication, and community leadership
• Fully remote engagement with a leading life sciences organization

About NetworkPedia

NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve.

As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability.

How to Apply

Apply directly via
LinkedIn Easy Apply
.

All applications are routed to