GIS Senior Data Scientist

Stellent IT LLC; Florida; Hybrid; USD 130,000 - 190,000; Full time

Job summary

Stellent IT LLC is seeking a Senior Data Scientist/Analytics Engineer to join the Data Science Development team within Network Planning. You will modernize, evolve, and scale geospatial and statistical fiber modeling platforms—routing, network optimization, and FDH modeling engines.

You will architect and unify network routing engines, scale geospatial datasets, optimize cloud databases, and deliver spatial analytics guiding national broadband strategy. Hybrid work model is supported.

Qualifications

• Strong hands-on Python experience, MST/Dijkstra/graph theory, large ETL datasets, and spatial visualization tools (QGIS, ArcGIS Pro, ArcGIS S3).
• Experience with PostGIS, ESRI/ArcGIS frameworks, and open-source mapping platforms.
• Hands-on routing and network optimization in a geospatial context with cloud-based data pipelines.

Responsibilities

• Design, build, and optimize spatial routing and network planning models across core platforms and fiber mapping engines.
• Converge legacy spatial planning scripts into a unified, high-performance network modeling stack.
• Execute large-scale FDH/FTTH remodeling using Dijkstra/Kruskal and other MST algorithms on network topology and spatial datasets.
• Standardize spatial graph processing and routing to handle large datasets (shapefiles, GeoJSON).
• Integrate diverse spatial datasets into automated ETL pipelines for high-accuracy routing and analysis; oversee cloud databases.

Skills

Python development

Graph algorithms

Routing & network optimization

ETL processing

Spatial visualization tools

Education

Bachelor's or Master's in CS/DS/GIS/OR/Software Engineering

Tools

PostGIS

QGIS

ArcGIS Pro

ArcGIS API/ESRI frameworks

Airflow

Job description

Hello

Requirement:: GISSenior Data Scientist

Location: Temple Terrace, FL/ Irving, TX / Basking Ridge, NJ / Ashburn, VA - HYBRID

Duration: Long Term Contract

Candidate should have a well maintained linkedin

NOTES:

Required Skills: Python Development + Graph Algorithms - MST / Dijkstra / Graph Theory + Routing / Network Optimization + Strong exp in GIS/ QGIS / ArcGIS

• Hands-on Python development implementing and optimizing routing and network optimization algorithms (e.g., MST - minimum spanning tree, Dijkstra to Lighten transitions).
• Consolidates and processes large spatial datasets.
• Executes fiber distribution hub and fiber-to-the-home (FTTH) remodeling tasks post-onboarding.

Must-Have Skills:

Strong hands‑on Python experience, minimum spanning tree algorithms/graph theory, handling large ETL datasets, and spatial visualization tools (QGIS, ArcGIS Pro, ArcGIS S3 frameworks).

Nice-to-Have Skills:

AWS/GCP, full-stack/front-end REST frameworks (Flask, Fast API, Django), Apache Airflow, and prior Telecom domain experience (open to other industries if candidates are strong technically).

Job Details:

We are seeking a highly skilled and results-driven Data Scientist / Analytics Engineer to join our Data Science Development team within Network Planning.

In this role, you will be responsible for the core modernization, evolution, and scaling of our geospatial and statistical fiber modeling platforms-specifically our proprietary automated routing, network optimization, and Feeder Distribution Hub (FDH) modeling engines.

You will be responsible for architecting and unifying complex network routing engines, scaling high-throughput geospatial datasets, optimizing cloud database performance, and delivering high-impact spatial analytics that directly guide our national broadband infrastructure strategy.

Key Responsibilities & Essential Functions:

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

Drive the strategic software convergence of 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 datasets (open street maps, 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.

Implement self-healing scripts, system telemetry monitoring, and strict role-based access security across the modeling stack.

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

Minimum Qualifications:

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.

Experience:

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).

Database Systems:

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 GCP (BigQuery, Cloud Storage).

Preferred Qualifications:

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.

Key Competencies Technical Ownership:

Strong ownership mindset with a track record of driving complex engineering projects from inception to production deployment.

Collaborative Leadership: Ability to work cross-functionally across Network Planning, IT, Network Operations, and Executive Analytics teams.

Problem Solving: Exceptional analytical skills to diagnose performance bottlenecks in large-scale spatial modeling environments.