Location: Temple Terrace, FL
Salary: $60.00 USD Hourly - $65.00 USD Hourly
Description: Our client is currently seeking a Data Scientist / Analytics Engineer (Geospatial Network Planning)
Role: Data Scientist / Analytics Engineer (Geospatial Network Planning)Location: Temple Terrace, FL | Irving, TX | Basking Ridge, NJ | Ashburn, VA
Work Model: Hybrid (2-3 days per week in office)
About the Role We are seeking a highly skilled
Data Scientist / Analytics Engineer to join our
Network Planning Data Science Development Team. This role will focus on modernizing, scaling, and optimizing geospatial network planning platforms that support broadband and fiber infrastructure initiatives.
The ideal candidate will have expertise in
geospatial analytics, network routing algorithms, cloud-based data engineering, and large-scale spatial data processing. You will play a critical role in developing and enhancing automated routing, network optimization, and Fiber-to-the-Home (FTTH) planning solutions that drive strategic network expansion decisions.
Key Responsibilities - Design, develop, and optimize geospatial routing and network planning models for fiber network deployment.
- Modernize and consolidate legacy planning applications into a scalable, high-performance modeling platform.
- Execute large-scale FDH (Feeder Distribution Hub) and FTTH network modeling using graph algorithms such as Dijkstra, Kruskal, and other network optimization techniques.
- Develop and enhance spatial graph processing and routing engines.
- Process and analyze large geospatial datasets, including Shapefiles, GeoJSON, and other GIS data formats.
- Integrate spatial data sources such as OpenStreetMap, enterprise address databases, and location repositories into automated ETL workflows.
- Manage and optimize cloud-based relational and analytical databases.
- Improve database performance through query tuning, index optimization, and automated maintenance processes.
- Build and maintain automated data pipelines using Python and Apache Airflow.
- Implement monitoring, self-healing processes, and role-based access controls across data platforms.
- Design secure, scalable, and cost-effective solutions across AWS and Google Cloud Platform cloud environments.
- Collaborate with Network Planning, Engineering, Operations, Analytics, and AI teams to deliver data-driven solutions.
Required Qualifications - Bachelor's or master's degree in computer science, Data Science, GIS, Software Engineering, Operations Research, or a related quantitative field.
- 5+ years of experience in Data Science, Data Engineering, Geospatial Analytics, or related disciplines.
- Strong proficiency in Python and SQL.
- Experience with web frameworks such as Flask, FastAPI, or Django.
- Deep expertise in geospatial technologies including:
- PostGIS
- ArcGIS / ESRI
- QGIS
- Spatial SQL
- GeoJSON and Shapefiles
- Experience with database technologies including:
- PostgreSQL
- Oracle
- Redshift
- BigQuery
- Hands-on experience with:
- Apache Airflow
- Docker
- AWS (EC2, RDS)
- Google Cloud Platform (BigQuery, Cloud Storage)
- Experience developing and optimizing large-scale data pipelines and analytics platforms.
Preferred Qualifications - Telecommunications or broadband industry experience.
- Experience with FTTH, FWA, fiber network planning, or OSP engineering.
- Strong understanding of graph theory, network optimization, and routing algorithms.
- Experience improving cloud performance, reducing infrastructure costs, and optimizing large-scale database environments.
- Exposure to network topology modeling and geospatial decision-support systems.
Key Competencies - Strong analytical and problem-solving capabilities.
- Proven technical leadership and ownership mindset.
- Ability to manage complex projects from concept through deployment.
- Excellent communication and cross-functional collaboration skills.
- Experience working in fast-paced, data-driven environments.
- Passion for building scalable solutions that directly impact network infrastructure strategy.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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