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

Tittle:

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

Location:

Hybrid- Irving, TX / Basking Ridge, NJ/ Ashburn, VA/ Temple Terrace, FL (2-3 Daya Onsite)

Duration:

12 Months

Description:

We are

seeking

a highly skilled and results-driven

Data Scientist / Analytics Engineer

to join our Data Science Development team withi

n 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.

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).

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 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 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.

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).