Job Title: Data Scientist Geospatial & Telecom Data Modeling
Location: Plano (Onsite 5 Days/Week)
Interview Mode: Face-to-Face (F2F Mandatory)
Candidate Type: Local Candidates Only
Job Summary
We are seeking a highly skilled Data Scientist with strong Geospatial and Telecom Data Modeling experience to support advanced analytics and network optimization initiatives. The ideal candidate will have hands-on experience working with telecom datasets such as CDRs, network KPIs, and location-based performance data, along with expertise in geospatial analysis for coverage planning and optimization.
Key Responsibilities
- Analyze and model geospatial telecom data including cell tower locations, signal strength, and coverage maps
- Perform location-based performance analysis to identify coverage gaps and optimize network performance
- Build and maintain data models for telecom datasets such as:
- Call Detail Records (CDR)
- Network KPIs (latency, throughput, drop rates)
- Subscriber usage and traffic patterns
- Develop predictive models for:
- Network congestion forecasting
- Traffic demand by region
- Outage detection using geographic patterns
- Collaborate with network engineering teams for coverage planning and optimization strategies
- Work with large-scale datasets using distributed processing frameworks
- Translate business requirements into scalable data models and analytical solutions
Required Skills & Qualifications
Geospatial & Telecom Expertise
- Strong understanding of:
- Coverage planning & network optimization
- Signal strength and RF performance metrics
- Location-based analytics in telecom environments
Data Modeling
- Hands-on experience in telecom-specific data modeling
- Strong SQL skills and experience designing structured datasets for analytics
- Experience working with large, complex datasets (CDR, KPI data)
Data Science & Tools
- Proficiency in Python libraries: Pandas, NumPy, Scikit-learn
- Experience with geospatial tools/libraries such as:
- ArcGIS / QGIS
- GeoPandas, Shapely
- PostGIS
- Map APIs (Mapbox / Google Maps)
- Experience with big data platforms like:
- Apache Spark / Databricks
Preferred Qualifications
- Experience in telecom domain (Wireless / Network Analytics)
- Exposure to cloud platforms (AWS, Azure, or Google Cloud Platform)
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, onsite client environment
Key Use Cases (Must Have Experience in At Least One)
- Predicting network congestion
- Optimizing tower placement / identifying coverage gaps
- Customer segmentation based on location usage
- Detecting network outages using geospatial analysis
- Traffic forecasting per region
AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations across multiple industries.
AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristics.
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