Data Scientist / Analytics Engineer IV (Telecon FDH, GIS/ ESRI/ArcGIS frameworks)

Design, build, and optimize spatial routing and network planning models across our core automated planning platforms and fiber mapping engines. 

Drive the strategic of software convergence legacy spatial planning scripts into a unified, high-performance network modeling stack. 

Execute large-scale Feeder Distribution Hub (FDH) and Fiber-to-the-Home (FTTH) remodeling using Djikstra, Kruskal or other minium tree spanning algorithms utilizing network topology, and spatial datasets. 

Transition and standardize spatial graph processing and routing engines 

Ability to handle large datasets in spatial data formats (e.g., shapefiles, GeoJSON) 

Integrate advanced spatial enterprise address databases, and master location repositories) into automated ETL pipelines for high- accuracy routing and spatial analysis. 

Oversee production relational and columnar databases across cloud environments. 

Lead continuous database optimization initiatives— automating table maintenance, rebuilding high-traffic spatial reference cross-reference tables, and tuning long-running queries to maintain low latency. 

Build and manage automated workflow pipelines (e.g. Airflow/Python) to streamline real-time data sharing across cross-functional engineering, analytics, and AI teams.  

Architect secure, scalable, and cost-effective data infrastructure environments across multi-cloud environments (AWS and Google Cloud Platform). 

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Geographic Information Systems (GIS), Operations Research, Software Engineering, or a related quantitative field. 

5+ years of experience in data engineering, geospatial analytics, or data science roles, with demonstrated leadership in technical delivery. 

Core Languages & Web Frameworks: Proficiency in Python (3.x), SQL, and microservices/web execution frameworks (Flask, FastAPI, or Django) a must. 

Spatial & GIS Mastery: Deep expertise with spatial analytics tools, spatial SQL, PostGIS, ESRI/ArcGIS frameworks, and open-source mapping platforms (e.g., Overture Maps, QGIS, PG Tile Server). 

Demonstrated experience with transactional and analytics databases (PostgreSQL, Oracle, Redshift, BigQuery) 

Workflow Automation & Cloud: Hands-on experience with Apache Airflow, Docker, AWS (EC2/RDS), and Google Cloud Platform (BigQuery, Cloud Storage). 

Direct experience in telecommunications network planning, fiber infrastructure deployment (FTTH, FWA), or complex graph/network routing algorithms. 

Proven track record of system performance tuning, query optimization, and cost-reduction initiatives across enterprise cloud environments.