Data Sceintist - Billing and Payment domain

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Job Description: Data SME

Role Overview

We are seeking a highly skilled Data SME to support Billing & Payment analytics and drive business-side data requirements for a strategic AI initiative. The role will act as the primary subject matter expert for billing data, collaborating closely with Data Engineering and AI teams to build AI-driven solutions that analyze customer communications, compare promised offers with billing outcomes, identify discrepancies, determine root causes etc.

Technical Skills

Required Skills & Experience

• 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.

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.