Full-Stack Data Scientist

Summary

CREW’s technology and services make wastewater treatment cheaper and more efficient while permanently sequestering CO₂. CREW is seeking a product-focused data scientist and developer to design and implement data products, including models, dashboards, visualizations, and tools, that expand the capabilities of its intelligence platform. The role also involves stakeholder collaboration, production-quality coding, colleague education, and feedback-driven iteration.

Responsibilities

• Drive discussion with stakeholders to establish a clear articulation of the problem to be solved, whether it be a problem of commercial strategy or wastewater process
• Craft a proposed solution that specifically addresses the identified problem
• Be the authority on what flavor of data product would be most appropriate and impactful as the solution, deeply informed by the domain expertise of your colleagues
• Develop visualizations, dashboards, tools, and models to improve company-wide access to and understanding of wastewater process data by writing production-quality code and employing coding best practices
• Contribute to the extension and maintenance of CREW’s intelligence platform codebase
• Educate colleagues on effective use and engagement with data products
• Collect feedback and iterate on data products to maximize utility and impact
• Unearth data-related problems and platform-capability potential through deep-listening and thoughtful dialog with colleagues, and take initiative to elevate and galvanize efforts to address

Skills

• 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
• Comfortable working in a fast-paced, early-stage, or evolving company environment
• You practice extreme ownership (no task is too small)
• You love being in the trenches with your team and working with high empathy
• You have a growth mindset
• Preferred, but not required experiences: MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning

Qualifications

Must Haves

• 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
• Comfortable working in a fast-paced, early-stage, or evolving company environment
• You practice extreme ownership (no task is too small)
• You love being in the trenches with your team and working with high empathy
• You have a growth mindset

Nice to Haves

• Preferred, but not required experiences: MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning

Benefits

• Equity through the form of option grants
• Flexible paid time off
• 401(k) plan
• Well equipped office environment
• Health benefits offerings