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ML Ops with Research Background

5 months ago

Dubai, United Arab Emirates Jobot Full time



Whyjoinus?

Ourclient is a pre-seed stage, Washington, D.C.-based climateresilience SaaS

platform that helps utilities,governments, and corporations plan forgreater

resilience to climate change andextreme weather. As the U.S.experiences

record-breaking climate-relatedimpacts, our tool identifies vulnerabilities acrossour

customers' assets and footprintsand empowers planners to prioritize actionsthat

improve resilience. By ingesting a vastamount of information that characterizesrisk

from extreme weather–– including infrastructure, outage, weather,parcel, and

demographic data–– their proprietary machine learning modelsquantify

climate risks on a geospatialinterface of customer assets. Our customers havethe

ability to model thousands of scenarios toprioritize projects and activitiesthat

maximize the protection of communitiesand businesses against climatethreats.

JobDetails

Experience withsoftware architecture and developing tech products fromthe

ground up, preferably at early-stagestartups

  • Expertise inapplying data science, machine learning, and statisticalmodeling

techniques tolarge, messy, geospatial datasets, and a history ofdriving

decisions in high stakes environmentswhere careful methodology is essential.

  • A product-oriented visionarycomfortable scoping solutions with customers,

learning from experts in the field,and capable of balancingimmediate

deliverables with longer termtechnology strategy.

  • Apassion for fighting climate change and a clear desire to make animpact on

communityresilience

  • Resilience andgrit in the face of adversity, the ability to see challengesas

opportunities