Hiring in the US and Canada

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 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 Senior Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers.  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 (Algo/Performance)  and MLOps (DE, SRE). 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 and have the option to minor in any of the ones listed above. 
• You will leverage or adapt existing research and derive new algorithms for novel problems (use cases).
• You will develop a proven solution framework for each use case that the Applied ML team then takes, iterates and productizes it.
• You will have strong communication skills: ability to convey complex ideas to less technical audiences. 
• You will provide technical guidance for the team to formulate the research problem, design the experiment and narrow down the solution space. 
• You will be the go-to person for in-depth questions on the underlying math behind common ML tools & techniques.
• You will communicate the impact of trade-off choices made to the business stakeholders.
• You may support other teams on customer queries regarding model behavior, performance and feasibility. 
• Overall you will be responsible for delivering ML Products that deliver measurable business value for customers.

Who You Are

• Ph.D or Masters in a quantitative discipline (e.g. Stats, Math, Physics, Engineering, etc.) with demonstrable experience in ML Research and the underlying math.
• 3+ years of experience in data science/machine learning roles
• Experience solving concrete, real-world machine learning problems
• Well-versed in Python or R (and willing to continue to learn the Python ecosystem)
• Up to date with what’s under the hood of some of the advanced ML tools available

Nice to Have

• Comfortable writing production ready code
• Experience with startup or Agile environments
• Track record of creating excellent slack emojis and memes

Benefits

• Mission-Driven - Some companies use AI to serve better digital ads and trade stocks; we seek to make our communities safer and more resilient
• 100% remote - work from anywhere 
• Remote work monthly stipend
• Competitive compensation package
• Best in Class Medical Coverage - 100% benefits and premiums paid
• Health Perks - Wellness reimbursement
• Educational Allowance - up to $1000 /yr 
• 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.