Data Scientist/Analyst in Temple Terrace FL or Irving TX or Basking Ridge NJ or Ashburn VA

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

Data Scientist/Analyst 

Location: Temple Terrace FL or Irving TX or Basking Ridge NJ or Ashburn VA | 2-3 days onsite per week

Contract: 6+ months

Job Description: 

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

• 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 minimum 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 Google Cloud Platform).

Minimum Qualifications : Bachelor or master’s degree in computer science, Data Science, Geographic Information Systems (GIS), Operations Research, Software Engineering, or a related quantitative field.