Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist
VDart, Inc.
Juno Beach, United States
about 2 months ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Geographic Information Systems
Application Programming Interfaces (APIs)
Artificial Intelligence
Business Analytics Applications
Data Analysis
Big Data
Data Cleansing
Data Visualization
GIS Applications
Python (Programming Language)
Machine Learning
Performance Tuning
+9 more
Standard Sql
Azure Machine Learning
Spatial Data Infrastructures
Systems Integration
Feature Engineering
Model Validation
Information Technology
Data Analytics
Data Pipelines
Job description
- Support end-to-end data science and geospatial analytics projects, including data preparation, exploration, feature engineering, modeling, testing, and documentation.
- Develop analytical and machine learning solutions using structured, unstructured, and geospatial datasets.
- Build and maintain spatial data pipelines, APIs, automation workflows, and geoprocessing tools.
- Develop reusable GIS tools, analytical applications, and spatial data products to support business and operational requirements.
- Perform spatial analysis, data visualization, statistical analysis, and predictive modeling.
- Develop production-ready Python-based analytical workflows and applications under the guidance of senior technical staff.
- Assist with integrating GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
- Support the development and optimization of spatial data processing and analytical workflows.
- Participate in model validation, testing, monitoring, and performance optimization.
- Collaborate with GIS professionals, data engineers, software engineers, and business stakeholders.
- Document analytical methodologies, technical solutions, workflows, and results.
- Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
- Learn and apply enterprise development standards, geospatial best practices, and modern data science methodologies.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or a related quantitative field; advanced degree preferred.
- 2 4 years of professional experience in data science, analytics, machine learning, GIS, or a related field.
- Experience applying data science techniques to GIS or geospatial problems preferred, particularly within the last 4 years.
- Strong proficiency in Python and experience developing analytical or data processing workflows.
- Working knowledge of SQL and experience working with large or complex datasets.
- Understanding of statistical analysis, machine learning, predictive modeling, and data visualization.
- Hands-on experience with geospatial data, spatial analytics, or GIS technologies.
- Ability to develop analytical tools, applications, scripts, and automated workflows.
- Strong problem-solving, analytical, communication, and collaboration skills.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…