Staff Data Scientist


Full Time Senior-level / Expert
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Urbint uses artificial intelligence to predict threats to workers and critical infrastructure and stop incidents before they happen.
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100% Remote - Hiring in the US  and Canada 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.


At Urbint, the machine learning team does not work on making consumers spend more or work 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.          

We are looking for a Staff Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission.  Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling,  Applied ML, ML Research, AutoML  and MLOps. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.


What You'll Do

  • You will major in ML Research, autoML and have the option to minor in any of the areas listed above. 
  • You will leverage or adapt existing research and derive new algorithms to solve atypical problems (use cases).
  • You will provide technical leadership to the ML team. 
    • will provide technical guidance for the team to formulate the research problem, design the experiment and narrow down the solution space. 
    • will be the go-to person for in-depth questions on the underlying math behind different techniques and their applicability for a given problem.
    • Will develop a roadmap on which technologies the team should invest in.
  • Overall you will be responsible for developing state of the art solution frameworks for difficult to solve use cases.


Who You Are

  • Very important that you have 6+ years of experience in Machine Learning as a researcher (not: analytics, data eng, devops or mlops. we have other open roles please apply there). 
  • Strong technical breadth and strong technical depth in more than two areas of machine learning (can solve any problem).
  • Experience solving concrete, real-world machine learning problems in a commercial setting.
  • Passionate about delivering commercial/customer value through ML. 
  • Well-versed in Python.


Nice to Have

  • Comfortable writing production ready code and Strong software design engineering experience
  • Experience with Startup, Product and/or Agile environments
  • Track record of creating excellent slack emojis and memes



  • 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 
  • Your health matters to us, so we offer 100% employer-paid premium option
  • 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.


Job region(s): Remote/Anywhere
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