Neon One is looking to develop client-facing predictive models and shape the intelligence layer of their next-generation AI platform to help nonprofits connect with people, build trust, and make good happen.
Requirements
- 4+ years of experience in a data science role, with proven experience taking ML models from concept to a production environment.
- Experience making decisions around data modeling or ML architecture.
- Strong skills in any statistical programming language (e.g., Python, R); Python is preferred.
- Advanced SQL proficiency for complex data manipulation and analysis.
- Hands-on experience with a cloud ML platform; AWS SageMaker strongly preferred, but GCP or Azure ML experience may be considered.
- Familiarity with Snowflake and MLOps practices.
- Experience with LLMs or NLP use cases.
Responsibilities
- Design, build, and validate predictive machine learning models for real-world, client-facing use cases.
- Explore and connect data across marketing, finance, and application platforms to unlock predictive insights.
- Partner with a third-party AWS contractor to leverage and inform the development of MLOps components (e.g., SageMaker templates).
- Conduct exploratory data analysis (EDA) to identify key relationships and features.
- Translate model outputs into actionable strategies for customers and internal teams.
- Build dashboards and reports that deliver value both at scale and at the individual client level.
- Work independently to drive end-to-end projects, from hypothesis to production.
Other
- Ability to manage projects independently in a fast-paced, ambiguous environment.
- Strategic thinking and curiosity about applying data science to real-world business problems.
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
- Prior work in SaaS or multi-tenant platforms.
- Passion for or experience in the nonprofit space.
