Statistician Technician

Western EcoSystems Technology, Inc. (WEST), a dynamic medium size consulting firm with offices across the United States, is looking for a temporary, full-time Statistician Technician .

WEST has a permanent core of professionals with broad experience in basic and applied ecological studies and the sophisticated analysis of natural resource data. Since its founding in 1990, the WEST team has shaped the foundation of what we do, and what we believe in through our core values and key principles. Our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.

Please click here to see what benefits WEST offers!

Key Details:

• Compensation : $23.00-$28.00/ hour, DOE
• Start Date: January or February 2024
• End Date : Ongoing
• Location: Remote, Fort Collins, CO or Laramie, WY
• Number of Positions: 1

Job Summary:

The successful candidate must be:

• A self-starter who is analytical and is passionate about programming in a collaborative environment.
• Additionally, the successful candidate should enjoy learning new analytical techniques, communicating and interacting with people, and preferably have experience in field data collection.

Responsibilities include:

• Manipulate wildlife and environmental data, assist in developing graphs and tables, and perform simple statistical analyses and analytics.
• Develop, review, and provide support for data analysis code written in R following standard coding styles.
• Format and conduct QA/QC on data.
• Coordinate with appropriate personnel to promote best practices for data standardization and integrity.
• Develop and maintain positive relationships with coworkers.

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.

Requirements:

• Bachelor's degree in statistics, computer science, information technology, natural resources, wildlife management, wildlife biology or equivalent degree preferred.
• Demonstrated interest in working with wildlife, environmental, and renewable energy data and databases.
• Preference will be given to those with a goal of pursuing a graduate degree/career in wildlife, environmental, biological, statistical, computer science, or related fields.
• Work or academic experience with wildlife, environmental, biological, statistical, computer science, or related fields preferred.
• Must be able to develop and maintain detailed documentation in code and on procedures.
• Strong ability to stay focused and pay attention to detail.
• Computer proficiency with Microsoft Windows operating system, Microsoft Word, and Microsoft Excel required.
• Experience with programming, logic, and data modeling principles preferred.
• Experience with MS Access, MSSQL, PostGreSQL, MySQL, or other relational database applications, and query language T-SQL preferred.
• Experience with other data science toolkits (Python, C#, JavaScript, etc.) to facilitate data mining processes on large, complex datasets a plus.

How you'll make an impact:

• Support environmentally conscious renewable energy development across North America.
• Further the scientific understanding of wildlife and natural environments.

After an offer of employment is made, thecandidatemust successfully pass a pre-employmentbackground check,drug screening,and a DMV records check that meets WEST's minimum criteria to operate a motor vehicle on behalf of the company. A valid driver's license will be required. Candidates must adhere to all health and safety requirements.

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.