Group Director, Spatiotemporal Science

At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design adaptive digital services and applications that capture the imagination, delivering impressive returns for our clients.

AKQA is a leader in digital innovation, design, and experience-led transformation, driven by advanced analytics and technology to deliver impactful, data-driven solutions. We are seeking a Senior Data Scientist with expertise in spatiotemporal data analytics to lead the development of a scalable environment for ingesting, processing, appending, and visualizing complex datasets.

As a Group Director of Spatiotemporal Science, you will be responsible for designing and implementing a robust framework for spatiotemporal data analytics. You will work across teams to process large-scale spatial datasets, build actionable insights, and create visualizations that enable business decision-making. This is an exciting opportunity to push the boundaries of spatiotemporal data utilization and contribute to cutting-edge projects.

Role Requirements:

• System Development: Architect and implement a scalable environment for ingesting, processing, and analyzing spatiotemporal data.
• Data Integration: Ensure seamless integration of diverse spatiotemporal datasets, maintaining high data quality and consistency.
• Visualization: Create interactive, intuitive visualizations to effectively communicate spatial and temporal insights.
• Advanced Analytics: Conduct spatial and temporal analysis using advanced techniques, including clustering, optimization, and predictive modeling.
• Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand requirements and deliver solutions.
• Innovation: Explore and prototype novel methods for analyzing and visualizing spatiotemporal data to unlock new insights.
• Documentation: Develop thorough documentation of workflows, methodologies, and tools to facilitate scalability and collaboration.

Qualities and Characteristics:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Geographic Information Systems (GIS), or a related field.
• Experience: 5+ years of experience in data science or a related role, with a focus on spatiotemporal data analytics.
• Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Experience with geospatial tools and libraries (e.g., H3, GeoPandas, PostGIS, QGIS).
  • Knowledge of visualization frameworks (e.g., Plotly, Deck.gl, Kepler.gl, D3.js).
  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for data storage and processing.
• Specialization: Strong understanding of spatiotemporal data structures, indexing methods, and analytics techniques.
• Problem-Solving: Demonstrated ability to deliver creative, scalable solutions for complex analytical challenges.
• Communication: Ability to effectively communicate complex analytics to both technical and non-technical stakeholders.
• Preferred Qualifications:
  • Experience with large-scale spatial indexing systems or hierarchical grids.
  • Familiarity with open geospatial data sources (e.g., OpenStreetMap).
  • Experience in applying machine learning models to spatial and temporal data.

Explore our extensive range of benefits here.

AKQA is an Equal Opportunities Employer, we believe that diversity is vital to AKQA’s ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability or veteran status have no bearing on our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.