Lead Geospatial Data Analytics Specialist
6 days ago
We are seeking a skilled Senior Geo Data Scientist to enhance our spatial data analytics capabilities. In this role, you will play a key part in developing innovative solutions to address critical business challenges by analyzing large-scale geospatial data sets and driving insights.
Key Responsibilities:
- Apply advanced statistical and machine learning techniques to extract valuable information from complex geospatial data sets.
- Design and implement algorithms and models for spatial data analysis, feature extraction, and predictive modeling.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop efficient data pipelines for large-scale data extraction, transformation, and loading (ETL) processes.
- Provide technical leadership and mentorship to junior team members.
- Stay updated with industry trends and advancements in geospatial technologies and data science methodologies.
- Present findings and recommendations to stakeholders and executive leadership in a clear and actionable manner.
Requirements:
- Advanced degree (Masters or Ph.D.) in Geoinformatics, Computer Science, Statistics, or a related field.
- Proven experience (3+ years) as a Data Scientist or Geo Data Scientist, with a strong focus on geospatial analytics and data modeling.
- Proficiency in programming languages such as Python, R, or Java, with experience in geospatial libraries (e.g., GDAL, GeoPandas, PostGIS).
- Deep understanding of machine learning techniques, statistical analysis, and data visualization methods as applied to geospatial data.
- Experience with GIS tools and platforms (e.g., ArcGIS, QGIS, etc.) and familiarity with spatial databases.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team in a fast-paced environment.
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
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