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Geospatial Data Scientist Jobs in Alabama

Data Scientist Jobs
By Brightpath Associates LLC At Georgia, United States
3+ years analysis experience building predictive models in R
Exceptional analytical, problem identification, and problem-solving skills with the ability to think strategically
Excellent ability to effectively manage multiple projects and competing priorities
Excellent written and verbal communication skills with all levels of the organization
Evaluate model performance and reevaluate models as necessary
Apply predictive models to audiences for optimal campaign selection
Data Scientist Jobs
By CFD Research Corporation At Huntsville, AL, United States
Proficient programming skills in Python
Experience using visualization tools such as Matplotlib or Plotly
Experience with versions control systems such as Git
Experience with data analysis tools such as Pandas and SQL
Experience training and evaluating machine learning models
Candidate must be a US Citizen and possess (or be eligible to obtain) and maintain a SECRET Clearance.

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