[ES_JOBS_NET] Senior Data Scientist at Kettle (climate change reinsurance company, remote work)

[Yaling Liu]

Dear all,

Please share this exciting Data Scientist opportunity that works on climate
change induced catastrophes using machine learning. The position is remote
and no need for relocation. If you are interested in the position, please
apply for it at https://apply.workable.com/kettle-2/j/330E3004AF/.

Thanks,
Yaling


Senior Data Scientist
Apply here: https://apply.workable.com/kettle-2/j/330E3004AF/

Description

The Organization

Kettle's mission is to balance risk in a changing climate. Kettle uses deep
learning and proprietary algorithms to reshape the reinsurance industry and
better protect people from the growing risks associated with climate
change. Kettle’s first product protects Californians’ businesses, homes,
and livelihoods with wildfire reinsurance. To learn more, visit
ourkettle.com <https://www.ourkettle.com/>

You probably have never heard of the $300bn reinsurance
<https://www.kcet.org/shows/earth-focus/paying-for-climate-change-a-reinsurance-industry-view>
industry,
but it is the single most important industry in the world to protect
ourselves and help society recover from the effects of climate change
disasters. This industry is failing due to a 3x increase in $1B+ crises
caused by climate change. Kettle’s aim is to use deep learning to ensure
that people’s lives are not destroyed when these events happen. By building
the most sophisticated machine learning models to predict when and where
wildfires happen, Kettle accurately prices the cost of covering wildfire
prone areas in California. We are a machine-learning-powered reinsurer, in
that we sell reinsurance to insurers, we don't sell software to reinsurers.


Who we are/what we value:

   - Obsessive Fanatics - We obsess over big problems. We are fanatical
   about our business/mission. We drive the company towards the areas people
   describe as ‘impossible to understand or stop’
   - Initiative - Obsessive people don’t need micromanagement.
   - Data Focused - With the world burning worse every year, we can’t
   afford opinions and bias to derail data driven decisions.
   - Questioning Renegades - We work in a 600 year old industry. If
   everyone is running one direction, we generally sprint in the other.
   - Impact Driven - We are a mission driven business

The Role

We are looking for a passionate Data Scientist to join our team and work
with a growing team of engineers, deep learning experts, and other data
scientists to model risk using the most advanced tools available,

We strongly encourage people from traditionally underrepresented
populations in tech - such as women, People of Color, People with
Disabilities, and LGBTQ+ people, etc - to apply!

Role Primary Responsibilities

   - Develop new climate risk estimation methods at the forefront of
   science and technology
   - Improve Kettle’s existing algorithms to extract data from satellites,
   sensors, and other data sources
   - Explore and validate new data sources that improves the performance of
   Kettle’s current system
   - Test and improve components of Kettle’s machine learning wildfire
   models
   - Expand and scale Kettle’s system to other perils such as wind and flood
   - Help build out advanced financial and quantitative models of balancing
   risk portfolios and understanding volatility/return profiles of our risk


As a member of Kettle, you:

   - Contribute to the development of the state-of-the-art climate change
   risk estimation platform that protects people against increasing frequency
   and severity of catastrophic events,
   - Are involved with in-depth climate research using machine learning,
   - Represent our organization at scientific and development meetings

Requirements

At a high level, we are looking for a highly motivated, successful data
scientist who is a demonstrated *self-starter* with at least five years
experience in some sort of data analysis or engineering profession. This
person needs to have the drive to make sure our technology and models are
the most accurate predictors of risk in the world. Below we have listed out
some things we are looking for; you do not necessarily need to check all
these boxes to be eligible for this position.


Essential Experience of a Successful Candidate

   - Bachelor’s, Master’s, or PhD in geography, earth science, atmospheric
   science, engineering, computer science, mathematics, quantitative theory,
   or a related field with potential experience on remote sensing and/or
   geospatial analysis
   - Scientifically sound approach to machine learning, especially with
   computer vision techniques
   - In-depth experience analyzing satellite images and climate data
   - In-depth experience analyzing large data sources to find signal and
   predictions
   - In-depth experience building deep learning or other machine learning
   models
   - Excellent Python code proficiency
   - Self-starter with ability to work within a fast-paced and
   rapid-evolving startup
   - Eagerness to learn new skills and help with the task at hand


Useful Experience

   - Coding proficiency using Google Earth Engine JavaScript and/or Python
   APIs, and/or open source geospatial Python packages
   - Experience using SageMaker, TensorFlow, and other machine learning
   tools
   - Experience with downscaling coarse resolution satellite imagery
   - Experience with data fusion or data assimilation
   - Integrating machine learning models to a system
   - Experience with simulation-based scheme
   - Using AWS and Google Cloud Platform
   - Experience with property damage estimation and loss distribution

Benefits

We offer a competitive package that is based on location and experience. We
also offer the following benefits:

   - Stock: Ownership in a fast-growing venture-backed company.
   - 401k matching: We care about your ability to save for your future.
   - Family Focus: Parental leave and flexibility for families.
   - Time Off: Flexible vacation policy to encourage people to get out and
   see the world.
   - Healthcare: Platinum level Medical, dental, and vision policies.
   - Goodies: Whatever hardware and software you need to get the job done.
   - Team Fun: Regularly scheduled events, annual retreat, and celebrations.
   - Learning: Learning & Development Opportunities to grow your skills and
   career.
   - Great team: Working with fun, hard-working, kind people committed to
   making a difference!
   - Flexible culture: We are results-focused. We don’t work at the office
   every day.
   - ...And much more! Lots of other perks make this company an incredible
   place to work.

--

Yaling Liu, PhD

Lead Data Scientist

Kettle
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20210313/d0684ea4/attachment.html>