Data Scientist, Modeler at TheWonderfulCompany

Forecasting & Budgeting (Core Ownership) • Own forecasting models for: • Revenue, orders, conversion rates, and AOV • Marketing performance and demand planning • Partner with Finance and Leadership on budgeting and planning cycles • Build scenario models to support strategic decisions • Continuously improve forecast accuracy using statistical and machine learning techniquesCustomer & LTV Modeling (Core Requirement) • Design and maintain Customer Lifetime Value (LTV) models • Perform cohort analysis, retention modeling, and customer segmentation • Identify key drivers of long-term customer value and profitability • Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategiesAI / LLM Strategy & Implementation • Lead adoption of AI/LLM capabilities across analytics and business workflows • Identify and implement use cases such as: • Automated insight generation and reporting • Natural language querying (NL → SQL) • Customer behavior summarization and segmentation • Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.) • Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevanceAdvanced Analytics & Modeling • Develop models for: • Demand forecasting and seasonality • Customer behavior and conversion drivers • Leverage GCP/BigQuery for large-scale data analysis • Identify key drivers of performance across product, pricing, and customer behaviorA/B Test Validation & Experimentation Support • Validate statistical significance and methodology of A/B tests • Ensure accuracy and consistency of test readouts • Define guardrails and best practices for experimentation measurement • Partner with Product and Analytics teams (without owning test execution)Communication & Executive Storytelling (Critical) • Translate complex analyses into clear, actionable insights for non-technical stakeholders • Develop high-quality presentations and narratives for senior leadership and executives • Clearly articulate assumptions, risks, and confidence levels in models and forecasts • Influence decision-making through structured, data-driven storytellingData Strategy & Cross-Functional Collaboration • Work closely with: • Data Analytics Manager (India) • Data Engineering / DW team • Product, Marketing, and Finance stakeholders • Help define scalable data models and structures to support analytics and AI use casesTooling & Infrastructure • Build models and workflows using: • Python (preferred) or R • SQL / BigQuery (GCP ecosystem) • Work with modern AI tooling: • LLM APIs (OpenAI, Claude, Gemini) • Help establish scalable pipelines for both traditional ML and LLM-based systems • Establish best practices for prompt design, validation, and governance