Data Scientist

ISeeChange is a data and engagement company dedicated to helping cities combat climate change. Our AI-enabled platform cross-references community-reported events with real-time data, enabling sustainable, equitable and efficient infrastructure and public works projects in municipalities across North America. Cities, engineers, utilities, and researchers use our software as a service to site, design, build, and monitor climate solutions that work best for communities.

We are looking for a motivated Data Scientist to join our interdisciplinary team of scientists as part of the Community in the Loop (CIL) project. 

The Data Scientist will work closely with our product lead, product designers, software engineers, environmental engineers, and resilience researchers to develop new approaches to climate adaptation and resilience planning.

ISeeChange is a social benefit corporation recognized by Morgan Stanley, Verizon, TechStars, MIT Solve, Echoing Green, Grist 50 Fixers, the White House, NASA, and the UN’s Global Innovation Coalition for Change. With users in 118 countries and public clients in New Orleans, Boston, and Greater Miami, we are expanding our team and launching new products ahead of the Infrastructure Investment and Jobs Act and the Inflation Reduction Act.

Responsibilities: 

Working with our interdisciplinary team to research, develop, evaluate, and optimize various Natural Language Processing, Computer Vision, and deep-learning models to identify climate impacts from community-sourced content.  This includes: 

• Study and transform data science prototypes
• Design NLP and Computer Vision applications
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP & CV tasks
• Develop ML systems according to requirements
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP & CV tasks
• Remain updated in the rapidly changing field of machine learning

Qualifications:

• A minimum of 3 years of experience in machine learning, natural language processing, computer vision, or in a related field
• Strong experience in Python. 
• Experience in NLP python packages such as nltk, sklearn and/or machine learning classification algorithms such as Random Forest. 
• Proficiency in ​​TensorFlow, PyTorch, and/or OpenCV
• Experience in model performance evaluation using cross-validation techniques.
• Excellent written and verbal communication skills for effectively communicating with an interdisciplinary team. 
• Preferred but not required — interest or experience in working on issues related to climate,  urban planning and infrastructure, or hydraulics.