[ES_JOBS_NET] Data Scientist / Machine Learning Engineer, Technology – Remote – CarbonPlan Job Opening

[Becky Hurst]

CarbonPlan has a new FT remote job opening for a *Data Scientist / Machine
Learning Engineer*!


CarbonPlan is a non-profit working on data and science for climate action. We
aim to ensure the quality, scientific integrity, and transparency of
climate solutions. 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/>.
Job Description

As a Data Scientist / Machine Learning Engineer on our Technology team, you
will contribute to CarbonPlan’s scientific and technical activities,
serving a dynamic role that includes data science, machine learning, cloud
computing, and open source software development. 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, and data
   products
   -

   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+ years experience with scientific Python,
   -

   3+ years experience with data science and machine learning in either a
   research or applied setting, and
   -

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


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

   -

   Experience contributing to open source scientific software projects,
   -

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

   Geospatial data analysis and visualization experience,
   -

   Data analytics experience with scientific Python, especially including
   Pandas, Xarray, and/or Dask,
   -

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

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

   Experience in image processing or remote sensing.


You should include in your application:

   -

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

   Your CV, and
   -

   A paragraph answering each of the following questions:
   -

      Why are you excited to work at CarbonPlan?
      -

      What do you hope to bring to this role?
      -

      At CarbonPlan, we value the diversity of experiences and perspectives
      within the work of climate change mitigation. What would you
bring to this
      team in that regard?


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.
Benefits

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. Employees are eligible for promotion
or salary increases every six months at the time of their performance
review.

We expect this position to be a regular, full-time position, with an annual
salary of $125,000 USD. However, we are open to some variance in
experience, which may affect the resulting level and annual salary. In
addition to salary, we offer a comprehensive set of benefits to all
full-time employees:


   -

   Health insurance (100% of costs covered for employees, 50% for
   dependents)
   -

   Dental insurance
   -

   Vision insurance
   -

   Flexible health spending accounts
   -

   Dependent care spending accounts
   -

   Life insurance
   -

   401(k) retirement fund with matching employer contribution
   -

   Unlimited time off (expectation of a minimum of four weeks)
   -

   16 weeks paid parental leave
   -

   Remote work expense reimbursements


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!
COVID-19 Vaccine Policy

CarbonPlan is committed to providing our staff with a safe work environment
and helping to promote the health of our community. As such, CarbonPlan
will require all employees to confidentially show proof of COVID-19
vaccination as a condition of employment, unless they are unable to receive
the vaccine because of a medical condition or sincerely held religious
belief or practice. In accordance with the Americans with Disabilities Act
and Title VII, and applicable state laws, CarbonPlan will do our best to
make reasonable accommodations for employees who (1) cannot take the
vaccine due to a medical disability or (2) seek an exemption from the
vaccine based on sincerely held religious beliefs.
How to Apply

Apply at https://apply.workable.com/carbonplan/j/33BB69C0C3/


-- 
*Becky Hurst*
Pronouns: She | Her
Operations Manager
CarbonPlan <http://carbonplan.org>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20220126/835b904c/attachment-0001.html>