Geospatial Data Scientist at Data Scientists Network (Data Science Nigeria) - DSN

Job Description

• The role is a professional responsible for advanced geospatial analytics, statistical analysis and visualization. The role will deploy theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives to make evidence-based decisions at all times using different types of mobility, satellite and geospatial dataset.
• The expert leading this function will use statistical tools to interpret data sets, paying particular attention to trends and patterns, correlations and causalities valuable for diagnostic, predictive and prescriptive analytics efforts.

Key Responsibilities

• Summarize, analyse, develop analytic dashboards and interpret data, including the use of digital visualization and infographics.
• Transform and integrate complex geospatial data from multiple sources into accessible, understandable and usable information via easy-to-use visualization frameworks and statistical summarization.
• Promote the use of geospatial data by providing meaning to data-interpreting and presenting complex analytical findings in a clear and concise manner (storytelling with data), applying business knowledge to provide meaningful context for data, turning data into insights and action
• Identify data visualization tools and techniques that might be utilized to enhance the quality and effectiveness of DSN offerings, especially the plan to offer Data Visualisation as a service.
• Develop and implement a roadmap for utilization of self-service geospatial data tools in data query and interpretation.
• Create designs to support the presentation of reports and statistical data using.
• Collaborate and align with technical and non-technical stakeholders to translate customer needs into visualization requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, Mathematics, Data Science, or a related field.
• Proven experience as a Machine Learning Engineer or in a similar role.
• Strong expertise in Azure Data Management, Azure Synapse, Power BI, and Azure ML Studio.
• Demonstrated experience in developing and deploying machine learning models.
• Excellent problem-solving skills and attention to detail.
• Ability to work both independently and as part of a collaborative team.
• Strong verbal and written communication skills.