Data Scientist, Modeler

Forecasting & Budgeting (Core Ownership)Own forecasting models for:Revenue, orders, conversion rates, and AOVMarketing performance and demand planningPartner with Finance and Leadership on budgeting and planning cyclesBuild scenario models to support strategic decisionsContinuously improve forecast accuracy using statistical and machine learning techniquesCustomer & LTV Modeling (Core Requirement)Design and maintain Customer Lifetime Value (LTV) modelsPerform cohort analysis, retention modeling, and customer segmentationIdentify key drivers of long-term customer value and profitabilityPartner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategiesAI / LLM Strategy & ImplementationLead adoption of AI/LLM capabilities across analytics and business workflowsIdentify and implement use cases such as:Automated insight generation and reportingNatural language querying (NL → SQL)Customer behavior summarization and segmentationBuild prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevanceAdvanced Analytics & ModelingDevelop models for:Demand forecasting and seasonalityCustomer behavior and conversion driversLeverage GCP/BigQuery for large-scale data analysisIdentify key drivers of performance across product, pricing, and customer behaviorA/B Test Validation & Experimentation SupportValidate statistical significance and methodology of A/B testsEnsure accuracy and consistency of test readoutsDefine guardrails and best practices for experimentation measurementPartner with Product and Analytics teams (without owning test execution)Communication & Executive Storytelling (Critical)Translate complex analyses into clear, actionable insights for non-technical stakeholdersDevelop high-quality presentations and narratives for senior leadership and executivesClearly articulate assumptions, risks, and confidence levels in models and forecastsInfluence decision-making through structured, data-driven storytellingData Strategy & Cross-Functional CollaborationWork closely with:Data Analytics Manager (India)Data Engineering / DW teamProduct, Marketing, and Finance stakeholdersHelp define scalable data models and structures to support analytics and AI use casesTooling & InfrastructureBuild models and workflows using:Python (preferred) or RSQL / BigQuery (GCP ecosystem)Work with modern AI tooling:LLM APIs (OpenAI, Claude, Gemini)Help establish scalable pipelines for both traditional ML and LLM-based systemsEstablish best practices for prompt design, validation, and governance