Principal Data Scientist, Storm Management

7 Months ago • All levels • $150,000 PA - $200,000 PA

Job Summary

Job Description

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. You will collaborate with data science and analytics teams to develop AI/ML and statistical models for comprehensive risk and impact assessments. You will also be involved in developing storm catastrophe models, building hazard models, designing and implementing risk and impact models, and analyzing remote sensing data. This role requires translating storm risk outputs into actionable solutions and planning field surveys to improve model accuracy.
Must have:
  • Expertise in storm modeling, including hurricanes and thunderstorms
  • Experience building hazard models through storm simulations
  • Background in developing risk and impact models for financial losses
  • Experience with AI/ML, statistical methods for risk models
  • Master’s or PhD in Remote Sensing or related field
Good to have:
  • Experience applying storm risk models within the utility sector
Perks:
  • Comprehensive Medical, Dental, and Vision Coverage
  • Health Reimbursement Account (HRA)
  • 401(k) Plan
  • Parental Leave
  • Generous Vacation Policy
  • Winter Break

Job Details

About AiDASH


AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com    


We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  

 

Join us in Securing Tomorrow!


The Role


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.


How you'll make an impact:
  • 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


What we're looking for:
  • 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 you'll love:
  • Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children 
  • Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles 
  • 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered 
  • Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers 
  • Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!
  • Winter Break: From December 25th through January 2nd, we give everyone time off to recharge and enjoy time with family and friends!


We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. 


We offer a competitive base pay range for this full-time position, which is between $150,000 and $200,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process.


We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. 

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