Responsibilities
- Perform data extraction, cleaning, importing, and processing to support environmental and groundwater analysis.
- Conduct Exploratory Data Analysis (EDA) to develop predictive models, statistical analyses, and machine learning workflows to identify pattens, trends, and anomalies to support water resource planning and engineering design.
- Create intuitive data visualizations and interactive dashboards to communicate complex information effectively.
- Collaborate closely with our hydrogeologists and engineers on various projects, enhancing data workflows, and analytical capabilities.
- Support development and maintenance of data infrastructure, including database management.
- Assist in automating data workflows and reporting processes.
- Document methodologies, code, and findings clearly and thoroughly.
- Other related duties/tasks as directed.
Basic qualifications
- Master’s degree in Data Science, Computer Science, Statistics, Hydrogeology, Environmental Science, or related field.
- Proficiency in a variety of programming languages including, but not limited to: Python, R, JavaScript, and/or MATLAB.
- Experience working with APIs to retrieve, process, and integrate external datasets.
- Excellent analytical, problem solving, and critical thinking skills.
- Careful attention to detail, accuracy, and consistency and ability to manage competing priorities and deadlines.
- Excellent interpersonal skills and ability to effectively collaborate and work with others.
Preferred qualifications
- Internship experience in data science and analytics related to groundwater resources and engineering.
- Experience utilizing machine learning and artificial intelligence (AI) to optimize workflows.
- Experience developing Retrieval-Augmented Generation (RAG) systems.
- Experience with statistical analysis software and libraries (e.g., R, Python’s SciPy/StatsModels, SAS, SPSS, or similar tools).
- Experience with Developer Tools (e.g., AWS, Git, GenAI, etc.).
- Experience with SQL and relational databases.
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Vision insurance
Tags & focus areas
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