Backed by Connecticut Innovations.
About the role
We are looking for a product-focused data scientist and developer to join CREW’s Platform Team. This person designs and implements data products to enable other CREW teams and to expand the capabilities of CREW’s intelligence platform. These data products can range from constructing bespoke data transformations or models to extract deeper insights from wastewater data, to developing dashboards or other tooling to facilitate access and engagement with these insights.
What they're looking for
- 4+ years experience as a collaborative data professional (data scientist, data analyst, data engineer)
- Academic and professional background that pairs data or computer science with environmental or natural science
- Python proficiency, especially with scientific (numpy, pandas), machine learning (scikit-learn, pytorch), and visualization (matplotlib, seaborn, plotly) libraries
- Experience building for non-technical stakeholders and designing thoughtful data visualizations
- Comfortable collecting requirements and iterating based on feedback
- Clear communication and documentation habits
More about this role
We are looking for a product-focused data scientist and developer to join CREW’s Platform Team. This person designs and implements data products to enable other CREW teams and to expand the capabilities of CREW’s intelligence platform. These data products can range from constructing bespoke data transformations or models to extract deeper insights from wastewater data, to developing dashboards or other tooling to facilitate access and engagement with these insights.
This role blends data expertise and production code-writing abilities with cross-functional communication excellence: effective specification gathering from key stakeholders, skillful translation of specifications to appropriate product designs that assure real needs are being met, thoughtful and defensible production-grade implementation of data approaches, and stewardship of cyclical processes of feedback and iteration.
The ideal candidate is a strong data professional who can not only engage with scientists, engineers, and non-technical colleagues to develop a useful dashboard, visualization, or model, but who can also maximize the impact of the resultant data product via stakeholder education and feedback-driven...
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