Data Scientist

Actively Hiring

Full-time $80k - $120k Posted 5 months ago

Responsibilities

check_circle Perform data extraction, cleaning, importing, and processing to support environmental and groundwater analysis.
check_circle 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.
check_circle Create intuitive data visualizations and interactive dashboards to communicate complex information effectively.
check_circle Collaborate closely with our hydrogeologists and engineers on various projects, enhancing data workflows, and analytical capabilities.
check_circle Support development and maintenance of data infrastructure, including database management.
check_circle Assist in automating data workflows and reporting processes.
check_circle Document methodologies, code, and findings clearly and thoroughly.
check_circle Other related duties/tasks as directed.

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.

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.

Fulltime Remote Data Science Ai