Senior Data Scientist


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Job's description

100% Remote - Hiring in the US only

At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities. 

We encourage people from underrepresented groups to apply.

Job Summary 

At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities.  We find meaning and excitement solving these problems, and we hope you do, too.   


Data cleaning and processing, including reviewing raw data, evaluating data quality, cleaning data and filtering out useful information and conducting exploratory analysis of the data. Machine learning modeling including feature engineering, developing machine learning algorithms, model iteration based on client’s validation data, building project structures and writing python modules. Meeting with technical staff of clients and providing support and solutions for any issues clients might have with utilizing data sets, or information extracted from data through the Urbint platform.


Master’s Degree in Urban Science and Informatics, Spatial Analytics, Data Science or a related field, plus one year of experience working with Python or R; one year of experience creating machine learning algorithms; one year of experience working with data visualization tools and techniques; and one year of experience working with AutoML technologies.


  • Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
  • Top Compensation - Competitive compensation package

  • We are 100% Distributed - work from almost anywhere 

  • Distributed work monthly stipend
  • Office Space Stipend for co-working space expenses
  • Wellness reimbursement
  • Educational Allowance
  • Weekly lunch stipend

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. 

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