Environmental Data Scientist

beBee Careers is seeking an Environmental Data Scientist in Dartmouth, MA, to analyze complex environmental data sets. Responsibilities include reviewing hydrologic analyses, developing predictive models, and providing technical advice. Candidates should have a Bachelor's degree in hydrology or a related field, with experience in machine learning, GIS software, and strong analytical skills. The role offers opportunities for professional development and a collaborative work environment.
This role presents an excellent opportunity for a skilled Environmental Data Scientist to join our team in analyzing and interpreting complex environmental data sets. As a Hydrologic Technician, you will be responsible for reviewing and commenting on hydrologic analyses, assessing current and proposed conditions through data analysis and modeling, and developing technical memoranda to inform project impacts.

The successful candidate will have a strong background in hydrology, fisheries, or a related field, with experience working with machine learning algorithms, computer models, and GIS mapping software. You will work collaboratively with interdisciplinary teams to develop predictive models, analyze weather and hydrological data, and provide expert technical advice to stakeholders.

Key Responsibilities:
• Review and comment on hydrologic analyses
• Analyze and assess current and proposed conditions using data and models
• Develop technical memoranda to inform project impacts
• Work with machine learning algorithms and computer models
• Collaborate with interdisciplinary teams
• Provide expert technical advice to stakeholders

Requirements:
• Bachelor's degree in hydrology, fisheries, or a related field
• 2+ years of experience working with machine learning algorithms and computer models
• Experience working with GIS mapping software
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

Benefits:
• Fulfilling work contributing to conservation and management efforts
• Ongoing training and professional development opportunities
• A supportive and collaborative work environment