Company Name: Conservation Science Partners


Location:  Truckee, CA

Conservation Science Partners (CSP; is looking for general and project-specific support on a
wide array of high-profile, data-driven projects. The focus of projects is expected to vary, but will likely
include: phenology and climate change, wildfire and invasive species, vegetation monitoring, and land
use/cover change. This position will provide support as part of a team of ecologists involved in landscape
and conservation planning across the US. Strong candidates will need to have well-developed
problem-solving, statistical, and analytical thinking capabilities, in addition to significant experience as a
programmer. Candidates should also be willing and able to quickly learn new methods and software as
needed for specific projects, should have excellent organizational and communication (oral and written)
skills, and should be able to work on several projects simultaneously. Ideal candidates would help to
cultivate and propel an internal culture of innovation, creativity, and diversity.

Minimum Qualifications: 

We are seeking someone with a formal science background and not from a particular discipline or field
of emphasis. A MSc or PhD is desirable but not required. Post-graduate experience in ecology or the
natural resources field also is desirable, but may not be necessary. Applied experience will be looked
upon favorably
• Programming in Python, R, and JavaScript (some HTML/CSS would be helpful, but is not necessary) and
bash-scripting experience
• Data wrangling / munging skills for large datasets
• Experience working with online repositories for code (e.g., GitHub, GitLab, Bitbucket) — preferably in a
group setting, including at least some knowledge of branching or forking workflows
• Model fitting / evaluation (either using machine learning methods or inferential statistics — maximum
likelihood or Bayesian parameter estimation methods, for example). A background or training in
statistical and sampling design, and experience specifying hierarchical models would be highly desirable.

Preferred Qualifications: 

Desired​ ​skills
• Experience working with geospatial and remote sensing data
• Data visualization
• Web application development
• Experience building software images (using, e.g., Dockerfiles), working with containers, etc.
• Continuous integration / deployment

Desired Majors:  Geography, Geology, Geophysics, Hydrogeology, Geological Engineering, Metallurgical Engineering, Mining Engineering

Position Type:  Full-time Employment

Hours per week:  40+
Salary & Benefits: A highly competitive salary commensurate with experience. ​CSP offers a comprehensive group medical, dental, and vision insurance package, as
well as retirement benefits

Application Process: If interested, please send a cover letter, current CV, and contact information for three professional
references to: Please place DATA SCIENCE FELLOW in the subject line. Applications
will be handled electronically and by email only.

Application Deadline: 8/31/2017