Data Scientist

Connecticut Innovations

New York (NY)

On-site

USD 90,000 - 120,000

Full time

2 days ago
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Job summary

CREW Carbon is seeking a product-focused data scientist and developer to join CREW’s Platform Team. You will design and implement data products to enable CREW teams and expand the intelligence platform, ranging from data transformations to dashboards and tooling.

The ideal candidate has 4+ years as a data professional, strong Python, ML libraries, and experience communicating with non-technical stakeholders. You will collaborate with scientists, engineers, and colleagues to maximize impact.

Qualifications

  • 4+ years of experience as a collaborative data professional (data scientist, data analyst, data engineer).
  • Background pairing data or computer science with environmental or natural science.
  • Strong Python skills, including numpy, pandas; experience with ML libraries and visualization tools.
  • Experience building dashboards or data visualizations for non-technical stakeholders.
  • Clear communication and documentation habits.

Responsibilities

  • Design data products by articulating problems and proposing effective solutions.
  • Implement data products with production-quality code and develop dashboards or tooling.
  • Be a steward of CREW's intelligence platform: educate colleagues and iterate on products.
  • Collaborate across scientists, engineers, and non-technical colleagues to maximize impact.

Skills

Python
Data visualization
ML libraries
Stakeholder communication

Education

Data science / Computer science background

Job description

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.

Come join one of our quickly growing portfolio companies, Home | CREW Carbon!

CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂.

Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators:

  • Stabilize pH & alkalinity 24/7
  • Eliminate hazardous chemicals & cut costs
  • Avoid $100M+ infrastructure upgrades
  • Capture & Store CO2

We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion.

CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY.

We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government.

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.

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 iteration.

Design Data Products
  • 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.
Implement Data Products
  • 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.
Be a Steward of the Intelligence Platform
  • 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.
Experience Requirements
  • 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.
  • Preferred, but not required experiences: MRV, wastewater modeling, process-based modeling, geospatial data analysis & modeling, physics-informed machine learning.
  • 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.
Compensation

Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of the total compensation and benefits package. Other benefits for eligible employees may include: equity through the form of option grants, flexible paid time off, 401(k) plan, well equipped office environment, and health benefits offerings.

The expected base salary range for this role is $90,000 – $120,000. This range represents the company’s estimate for this position at the time of posting however actual compensation may vary based on skills, experience, location, role scope, and business needs.

  • Signed a carbon credit offtake agreement with the Frontier Climate Fund in 2024
  • Selected as 1 of 24 companies by the US Department of Energy in 2024 to be a potential supplier of high-quality carbon credits to the federal government
  • Highlighted as an “Innovator of the Month” by US Senator Chris Murphy in 2024
  • Selected by ImagineH2O, the leading water sector innovation accelerator in 2024
  • Highlighted by Business Insider as “One of the Most Promising Climate-Tech Startups of 2023

CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

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