Associate Statistician

Western EcoSystems Technology Inc. (WEST) a dynamic medium size employee-owned consulting firm with offices across the United States and Canada has an exciting and immediate opportunity for anAssociate Statistician (regular full-time)in the Fort Collins CO Golden Valley MN or Laramie WY office.

WEST has a permanent core of professionals with broad experience in applied ecological studies the sophisticated analysis of natural resource data and impact assessment and permitting. Since its founding in 1990 the WEST team has shaped our work through our core values and key principles that our work matters to our clients communities and the environment. Join WEST and discover a company of passionate committed and highly motivated individuals.

Please clickhereto see what benefits WEST offers!

The minimum base salary for thisposition is $62000 - $80000 plus annual may vary based on education knowledge and experience.

Job Summary:

The successful candidate must be a self-starter who enjoys research learning new analytical techniques to solve challenging problems and communicating and interacting with people (both co-workers and clients). Additionally the successful candidate should provide technical solutions and advise co-workers and clients on complex statistical analyses.

Responsibilities include:

• Conduct statistical analyses for environmental ecological renewable energy and natural resource projects.
• Perform quality assurance and quality control (QA/QC) reviews of datasets analyses and deliverables.
• Develop maintain and document reproducible analytical workflows using R and other statistical software.
• Prepare high-quality tables figures summaries and other analytical products suitable for technical reports and client deliverables
• Support multiple projects simultaneously while meeting deadlines budgets and project objectives.
• Collaborate with biologists data analysts statisticians GIS specialists and other technical professionals to develop practical solutions to project challenges.
• Communicate statistical methods assumptions limitations and results clearly to project managers and interdisciplinary project teams.
• Effectively use version control systems and collaborative coding practices.

This is a general description of the functions for this position and is not inclusive of all the duties which may be associated with this position.

Minimum Qualifications:

• MS in statistics.
• 2 or more years of experience as an applied statistician in ecology fisheries or wildlife research.
• Relevant experience in statistical consulting.
• Proficient in statistical programming and advanced data manipulation in R.
• Experience with some or all of the follow analysis methods: generalized linear modeling bootstrapping and simulation spatial analysis Bayesian hierarchical modeling and survival analysis.
• Excellent time management and organizational skills with the ability to work well under time constraints and meet deliverable targets and deadlines.
• Ability to write proposals manage deadlines and collaborate with others.
• Excellent written and oral communication skills.
• Experience with relational database systems and data manipulation.
• Experience with data management and geographical information systems (ArcGIS QGIS etc.).
• Ability to effectively use Microsoft Office applications.

Physical Requirements:

• Sitting for long periods of time

After an offer of employment is made the candidate must successfully pass a pre-employment background check drug screening and a DMV records check that meets WESTs minimum criteria to operate a motor vehicle on behalf of the company. A valid drivers license will be required.

WEST provides equal employment opportunities to all individuals regardless of their race color religion gender identity or expression age sex sexual orientation national origin disability status genetics and any protected veteran status and any other characteristic protected by federal state or local law. Further WEST takes affirmative action to ensure that all individuals are treated fairly and without discrimination for recruitment selection advancement and every other term and privilege associated with employment.