Principal Data Scientist, AiDash
Storm Management
$150-200k
Satellite-first AI applications
Job no longer available
Satellite-first AI applications
201-500 employees
Job no longer available
$150-200k
201-500 employees
Company mission
To create a greener, cleaner, safer planet from space.
Role
Who you are
- Deep expertise in developing a wide range of storm models, including hurricanes, thunderstorms, winter storms, and other extreme weather events
- Proven experience in building hazard models through storm simulations to assess potential severity and intensity
- Strong background in developing risk and impact models to quantify financial losses resulting from storm-related events
- Extensive experience applying AI/ML, statistical, and time-series methodologies to build catastrophic risk models
- Master’s or PhD in Remote Sensing, Environmental Science, Computer Science, or a related field
- Nice to have: Experience applying storm risk models within the utility sector
What the job involves
- As a Principal Data Scientist specializing in Storms, you will leverage remote sensing technologies and data to analyze, monitor, and assess the risks and impacts associated with severe weather events
- Your expertise will be instrumental in supporting disaster response, mitigation, and recovery efforts by delivering actionable insights from satellite imagery, aerial data, and other remote sensing sources
- In this role, you will collaborate closely with data science and analytics teams to develop AI/ML and statistical models for comprehensive risk and impact assessments
- Lead the development of storm catastrophe models, including hurricanes, thunderstorms, winter storms, and other severe weather events
- Build hazard models by running simulations across diverse geographic regions to estimate the severity and intensity of storm impacts
- Design and implement risk and impact models to assess potential losses resulting from storm events
- Develop and apply methodologies for analyzing remote sensing data to extract key variables for storm modeling
- Collaborate with cross-functional teams to translate storm risk outputs into actionable solutions for real-world business challenges
- Plan and execute field surveys and ground-truth data collection strategies to validate and improve model accuracy
Our take
The growing constellations of satellites delivering high definition earth imaging, along with advancements in AI, have spawned a flourishing business in ‘digital twins’ for global asset management. These digital data-compilation copies of on-the-ground locations can be used to help predict and mitigate the effects of climate disaster events - which cost the US billions of dollars each year.
AiDash’s various products help manage disaster, disruption and wildfires, as well as monitoring vegetation. The latter service, its original one, has a host of high-profile global clients, such as National Grid. The company's expansion into climate resilience demonstrates a keen awareness of both its tech's potential and the direction of the market - with environmental issues becoming even more of a hot topic in recent years.
The company has done well to prove its agility, which may well enable it to stay ahead of more specified rivals as they enter the scene. This includes companies like Kettle and Technosylva which operate in the predictive climate analytics space. AiDash's comparatively diverse offering should help it retain a competitive edge, while the substantial funding it has secured supports the pursuit of heightened global expansion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2024
$58.5m
SERIES C
Nov 2022
$10m
LATE VC
Total funding: $101.5m
Company benefits
- Multiply your growth - Grow into your best self while you are helping us grow. Where are you on your career path? How can we help?
- Know your view is valued - Your concepts, your perspectives, your opinions, your creativity
- Balance work with life - You’ll need personal time for the things that matter. You’ll have it
- Get world-class rewards - Comprehensive benefits, ESOPs and other perks
Company HQ
University South, Palo Alto, CA
Leadership
Abhishek Vinod Singh
(CEO & Co-founder)Co-founded Mitrr and DbyDX Software, then moved into a SVP and COO role at Kellton Tech Solutions. Most recently spent a decade as co-founder, director, and advisor at Edureka.
Rahul Saxena
(Chief Product & Technology Officer, Co-founder)Spent time in senior Engineering roles at Qwest Software Services and RSA Security, then went on to co-found allMemoirs and Quiklo.
Nitin Das
(Chief AI Officer & Co-founder)Previously directed Applied Research at Kvantum, then acted as Lead AI Scientist for Target. Additionally co-founded Uvaca Private Ltd.
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