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.
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 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.