[ES_JOBS_NET] Data scientist at CarbonPlan

[Joe Hamman]

We have an opening for a data scientist at CarbonPlan
<https://carbonplan.org/>.

https://apply.workable.com/carbonplan/j/E7EDBB85D5/
CarbonPlan is a non-profit working on the data and science of carbon
removal and climate solutions.

We aim to ensure the quality, scientific integrity, and transparency of
climate solutions, and we work across a range of approaches — forests,
soil, air capture, mineralization, energy, and more. We analyze solutions
based on the best available science and data and build open source tools
and data products. We work directly with decision makers across the public
and private sector to help them achieve ambitious climate goals. You can
read more about our work on our website <https://carbonplan.org/>.

As a Data Scientist on our Technology team, you will contribute to
CarbonPlan’s scientific and technical activities, filling a dynamic role
that includes data science, machine learning, data visualization, and open
source software development. Our core science products and software tools
are open source, and we build visualizations for broad audiences. If you’re
excited about applying cutting edge data science tools to tackle big
climate problems, please apply!

You will:

   -

   Design and build open source data analysis tools, models, data products,
   and rich interactive visualizations on carbon removal and other climate
   solutions,
   -

   Contribute to new and existing community developed open source software
   libraries,
   -

   Participate in and help guide engagements with external collaborators
   and partners, and
   -

   Document, write about, and present our work.


You should have:

   -

   Passion for our mission,
   -

   3-5+ years experience with data science and machine learning,
   -

   3-5+ years experience with scientific Python,
   -

   1-3+ years experience contributing to open source scientific software
   projects, and
   -

   A portfolio of your work (e.g. open source code, websites, papers, etc.).


You’ll be an especially good fit if you have:

   -

   Data science work experience outside academic settings,
   -

   Geospatial data analysis and visualization experience,
   -

   Data analytics experience in Python with Pandas, Xarray, and/or Dask,
   -

   Data visualization experience in Python (Matplotlib and/or Altair)
   and/or Javascript (Vega, D3 and/or WebGL),
   -

   Machine Learning experience using frameworks such as Scikit-Learn,
   Pytorch, and/or TensorFlow,
   -

   Experience in image processing or remote sensing, and
   -

   Software development experience using version control, continuous
   integration, etc.


You should include in your application:

   -

   A link to your portfolio (GitHub, website, etc.),
   -

   Your CV or a link to your LinkedIn profile, and
   -

   A paragraph on why you are excited about CarbonPlan.


CarbonPlan is an equal opportunity employer, and we are committed to
building an inclusive and diverse workplace. Addressing climate change
requires confronting systems that create inequity and injustice, and doing
so will require a team with culturally diverse perspectives. All qualified
applications — regardless of race, color, gender, religion, age, sexual
orientation, sexual identity, national or ethnic origin, disability,
marital status, veteran status, and any other occupationally irrelevant
criteria — will receive full consideration. We especially encourage
applications from individuals from underrepresented groups in science,
technology, and environmental organizations.

We are committed to providing competitive compensation and comprehensive
benefits to our employees. We offer fixed salary levels based on experience
and role to minimize biases in compensation and to ensure team members are
paid the same for doing the same work. We expect this position to be at an
annual salary of $105,000 USD based on the experience required for the
role. As we are still developing our team, we may also consider a more
junior or senior position in a related role, so please still consider
applying if this description is not an exact fit.

We are not currently able to sponsor a visa for this position, and
therefore can only consider applications from people who are already
authorized to work in the United States. We are based primarily in San
Francisco, but currently work remotely. The hiring manager for this role is
in Seattle. Remote work from any location on Pacific or Mountain Time works
for us!
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