Lead Data Scientist with Telecom domain

Job Title: Lead Data Scientist – Propensity & Segmentation (Telecom)

Location: Irving TX( 3 days Onsite)

Duration : Long Term

Note: Telecom and Lead experience is mandatory.

REQUIRED MACHINE LEARNING & EXPERIENCE

Experience: 10+ years of professional experience as an applied Data Scientist building and deploying supervised and unsupervised machine learning models.

Core DS Fundamentals: Deep understanding of traditional ML theory, including class imbalance mitigation, feature selection, probability calibration, and experimental design.

Business-Centric Evaluation: Ability to evaluate models beyond standard AUC/ROC, focusing on lift charts, precision-recall curves, tier separation, and financial ROI.

TELECOM & GEOSPATIAL REQUIREMENTS (MUST HAVE)

Telecom Domain Expertise: 3+ years specifically navigating telecom, broadband, wireless, or subscription-based data structures (e.g., understanding ARPU, churn cycles).

Geospatial Literacy: Practical experience using spatial SQL functions (e.g., BigQuery GIS, PostGIS, H3/S2 spatial indexing) to join and analyze location-based data like lat/long coordinates, wire centers, or census tracts.