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Geospatial Data Scientist Jobs in Kentucky

Data Scientist Jobs
By Bamboo Health At Louisville, KY, United States
3-5 years of related experience
Experience in developing predictive and machine learning models
Experience with data visualization tools (e.g. Tableau, Power BI).
Excellent communication and collaboration skills.
Experience with supervised and unsupervised anomaly/outlier detection models.
Experience with time-series models (e.g., simple models, average and smoothing models, linear regression models, ARIMA models).
Geospatial And Stem Project Coordinator
By Kentucky State University At Frankfort, KY, United States
At least one years’ experience in geospatial project development, STEM Education and/or research and project management.
Enhanced skills on use of ArcGIS Desktop and Pro versions, UAV-Drone and Lidar data and ArcGIS software administration and license management.
Practical experience in database management and basic statistics in Excel, ArcGIS Pro, SPSS or R Suite.
Assist in managing geospatial lab, update software and manage licenses for geospatial software.
Experience of working with undergraduate minority students and mentoring their research projects.
Effective oral, writing, and graphic design and cartography skills.

Are you looking for an exciting opportunity to use your geospatial expertise to make a real impact? We are looking for a Geospatial Data Scientist to join our team and help us unlock the power of geospatial data. You will be responsible for developing and implementing innovative geospatial data analysis techniques to solve complex problems. If you are passionate about geospatial data and have the skills to turn data into actionable insights, then this is the perfect job for you!

Overview:

A Geospatial Data Scientist is a professional who specializes in the analysis of geospatial data. They use their expertise in data science to develop insights and solutions from geospatial data. They are responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They also use their knowledge of geospatial data to develop predictive models and create visualizations.

Detailed Job Description:

A Geospatial Data Scientist is responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They use their expertise in data science to develop insights and solutions from geospatial data. They must be able to interpret and analyze data from various sources, including satellite imagery, aerial photography, and geographic information systems (GIS). They must be able to develop predictive models and create visualizations to present their findings. They must also be able to communicate their findings to stakeholders and other professionals.

What is Geospatial Data Scientist Job Skills Required?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Ability to interpret and analyze data from various sources
• Ability to develop predictive models and create visualizations
• Ability to communicate findings to stakeholders and other professionals
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Qualifications?

• Bachelor’s degree in data science, computer science, or a related field
• Experience with data analysis and visualization
• Experience with geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Knowledge?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Experience?

• Experience with data analysis and visualization
• Experience with geospatial data and GIS

What is Geospatial Data Scientist Job Responsibilities?

• Collect, organize, and analyze geospatial data to identify patterns and trends
• Develop insights and solutions from geospatial data
• Interpret and analyze data from various sources
• Develop predictive models and create visualizations
• Communicate findings to stakeholders and other