Ecoscape Environmental Consultants Ltd. is an environmental consulting company located in Kelowna, BC.
We provide a broad range of environmental services for our clients, focusing primarily on biophysical
inventory and mapping, ecological landuse planning, and fish and wildlife studies. Ecoscape offers exciting
opportunities for individuals to work on a wide variety of projects throughout BC. We are currently seeking
applications for the following opportunity:
GIS and Data Analyst
The ideal candidate will have the following skills:
Excellent knowledge of GIS, databases, map production, and spatial analysis (examples may be
Experience using ArcGIS Desktop and scripting in Python and SQL
Experience with scientific study design, statistical model development and analysis
Experience using R for data manipulation and analysis
A master’s degree or related experience using a wide range of statistical and GIS methodologies
Proficiency with MS Office
Ability to multitask and work well with a multidisciplinary team
Strong written and verbal communication skills and excellent time management (examples may be
Additional skills that are preferred, but not necessary to apply:
Experience with linear mixed effects models and other statistical modelling in R
Experience with R packages ggplot2, plyr and stringr
Working knowledge of AutoCAD
Experience with ArcGIS Pro
Experience with forestry and provincial GIS datasets
Experience with watershed delineation
Introduction to R
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.