Senior Consultant – Data Science

Verizon

Data science engineer building governed LookML models, BigQuery data solutions, and conversational analytics for Verizon's consumer business. Connecting semantic layers to AI-assisted dashboards and natural-language query tools.

Posted 8/24/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in LookML development and high-performance SQL for large-scale datasets, with a strong ability to translate business KPIs into actionable data models and interactive dashboards. Proficient in building natural-language analytics interfaces and ensuring model accuracy through data validation procedures.

Highest-signal resume keywords

LookML DevelopmentHigh-Performance SQLBigQueryNatural-Language Analytics InterfacesInteractive Dashboards

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Applicant Tracking System Keywords

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Hard Skills

LookMLSQLData ValidationStatistical AnalysisAnalytics EngineeringData EngineeringAI/LLM ToolingGit Version ControlDashboard DesignExploratory Data Analysis

Soft Skills

Effective CommunicationClient EngagementProblem Solving

Tools & Technologies

LookerGoogle Cloud PlatformAI AssistantsChatbot Interfaces

Industry Keywords

Telecom AnalyticsSubscription ServicesConsumer TechnologyChurn MetricsARPU

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Build, govern, and optimize enterprise-grade LookML models, including Explores, derived tables, and metrics
Translate business KPIs into governed, reusable semantic-layer models for dashboards and AI-assisted query interfaces
Design and deliver natural-language query experiences grounded in the LookML semantic layer
Author high-performance SQL for complex, large-scale consumer datasets in BigQuery
Build and maintain scalable data models for exploratory analysis and production reporting
Implement data validation procedures to ensure model accuracy and reliability
Create interactive dashboards and visualizations in Looker
Monitor deployed models and dashboards and proactively resolve issues
Connect analytics delivery to structured intake processes and translate business requests into scoped data and modeling tasks
Contribute to automated analytical workflows and the programmatic consumption of data models and semantic definitions
Meet with business clients to gather solution requests and data requirements
Translate consumer behavior, churn, and revenue questions into scalable analytical products
Communicate technical findings effectively to non-technical audiences and strategic business partners
Contribute as an individual contributor to Verizon Consumer Group's conversational analytics capability

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Four or more years of relevant work experience
Four or more years of experience across Analytics Engineering, Data Engineering, or Applied AI roles
Deep expertise in LookML development, including Explores, derived tables, and liquid parameters
Experience building and delivering conversational or natural-language analytics interfaces
Experience connecting LLM-based query tools, chatbot interfaces, or AI assistants to governed data models
Hands-on experience with BigQuery and high-performance SQL for large-scale consumer datasets
Exposure to AI/LLM tooling, including prompt engineering, function calling, and connecting language models to structured data sources
Experience building interactive visualizations and self-service dashboards in Looker or similar BI platforms
Experience applying statistical ideas and methods to datasets to answer business problems
Familiarity with Git version control, including basic commands, branching, and pushing/pulling code changes
Prior exposure to telecom, subscription services, or consumer technology analytics, particularly churn, ARPU, and subscriber metrics, is an advantage
Experience with agentic analytics workflows is an advantage
Experience with Google Cloud Platform is an advantage
Familiarity with dashboard design principles and visual science is an advantage

Benefits

Comp & perks

Hybrid work arrangement with work from home and assigned office days
Scheduled weekly hours: 40