Data Sceintist - Billing and Payment domain

Job Description: Data SME

Role Overview

We are seeking a highly skilled Data SME to supportBilling & Payment analytics and drive business-side data requirements for astrategic AI initiative. The role will act as the primary subject matter expertfor billing data, collaborating closely with Data Engineering and AI teams tobuild AI-driven solutions that analyze customer communications, comparepromised offers with billing outcomes, identify discrepancies, determine rootcauses etc.

Required Skills & Experience

Technical Skills

• 8+ years of experience in Data Engineering, Data Science.
  
• Proven experience working with large-scale billing and payment data environments.
  

• Advanced expertise in SQL and Python.
  
• Strong experience in Data Modeling (Conceptual, Logical, and Physical Models).
  
• Expertise in Data Warehousing technologies, specifically:
  
• Teradata
  
• Google BigQuery
  
• Hands-on experience building and supporting ETL/ELT pipelines.
  
• Experience extracting, cleansing, transforming, and analyzing complex billing and payment data.
  
• Strong understanding of enterprise data ecosystems and data architecture.
  
• Familiarity with AI/ML data requirements, feature engineering, and model-ready datasets.
  
• Experience bridging technical and business requirements for AI initiatives.
  

Domain Expertise

• Strong knowledge of Billing & Payment systems, processes, and data structures.
  
• Experience working with customer billing, invoices, payments, promotions, and offer validation.
  
• Ability to translate billing business logic into data and AI solutions.
  

Requirements

Required Skills & Experience

Technical Skills

• 8+ years of experience in Data Engineering, Data Science.
  
• Proven experience working with large-scale billing and payment data environments.
  

• Advanced expertise in SQL and Python.
  
• Strong experience in Data Modeling (Conceptual, Logical, and Physical Models).
  
• Expertise in Data Warehousing technologies, specifically:
  
• Teradata
  
• Google BigQuery
  
• Hands-on experience building and supporting ETL/ELT pipelines.
  
• Experience extracting, cleansing, transforming, and analyzing complex billing and payment data.
  
• Strong understanding of enterprise data ecosystems and data architecture.
  
• Familiarity with AI/ML data requirements, feature engineering, and model-ready datasets.
  
• Experience bridging technical and business requirements for AI initiatives.
  

Domain Expertise

• Strong knowledge of Billing & Payment systems, processes, and data structures.
  
• Experience working with customer billing, invoices, payments, promotions, and offer validation.
  
• Ability to translate billing business logic into data and AI solutions.
  

Benefits

What We Offer:

• Competitive salaries and comprehensive health benefits.
  
• Flexible work hours and remote work options.
  
• Professional development and training opportunities.
  
• A supportive and inclusive work environment.
  
• Access to cutting-edge technology and tools.