Senior Data Scientist

Roles & Responsibilities
Lead the development and implementation of geospatial data models and solutions to support business objectives.
Oversee the design and maintenance of databases to ensure efficient data storage and retrieval.
Provide expertise in Python programming to automate data processing and analysis tasks.
Utilize machine learning algorithms to analyze geospatial data and generate predictive insights.
Apply artificial intelligence techniques to enhance the accuracy and efficiency of geospatial analyses.
Collaborate with cross-functional teams to integrate geospatial data into broader business strategies.
Conduct thorough data quality assessments to ensure the reliability and accuracy of geospatial datasets.
Develop and maintain documentation for geospatial data models, processes, and workflows.
Train and mentor junior analysts in geospatial analysis techniques and best practices.
Present findings and recommendations to stakeholders in a clear and concise manner.
Stay updated with the latest advancements in geospatial technologies and methodologies.
Ensure compliance with data privacy and security regulations in all geospatial data handling processes.
Contribute to the continuous improvement of geospatial analysis tools and methodologies