Data Scientist, Modeler

Responsibilities / Job Description

• Forecasting & Budgeting (Core Ownership)
• Own forecasting models for: Revenue, orders, conversion rates, AOV, marketing performance, and demand planning
• Partner with Finance and Leadership on budgeting and planning cycles
• Build scenario models to support strategic decisions
• Improve forecast accuracy using statistical and machine learning techniques
• Customer & 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
• AI / LLM Strategy & Implementation
• Lead adoption of AI/LLM capabilities across analytics and business workflows
• Implement use cases: Automated insight generation, natural language querying (NL → SQL), customer behavior summarization
• Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini)
• Critically evaluate AI-generated outputs for accuracy and business relevance
• Advanced Analytics & Modeling
• Develop models for demand forecasting, seasonality, customer behavior, and conversion drivers
• Leverage GCP/BigQuery for large-scale data analysis
• A/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
• Communication & Executive Storytelling (Critical)
• Translate complex analyses into clear, actionable insights for non-technical stakeholders
• Develop high-quality presentations and narratives for senior leadership
• Articulate assumptions, risks, and confidence levels in models
• Data Strategy & Cross-Functional Collaboration
• Work with Data Analytics Manager (India), Data Engineering / DW team, Product, Marketing, and Finance
• Help define scalable data models for analytics and AI use cases
• Tooling & Infrastructure
• Build models using Python (preferred) or R and SQL/BigQuery (GCP ecosystem)
• Work with LLM APIs (OpenAI, Claude, Gemini)
• Establish best practices for prompt design, validation, and governance

Qualifications

• 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)
• Experience presenting to senior executives and driving decisions
• Strong experience with: Forecasting and time series modeling, Customer Lifetime Value (LTV) modeling, Python and SQL (BigQuery preferred), Statistical analysis and experimentation
• Proven ability to build executive-level presentations and communicate complex insights clearly
• Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)
• Experience building or prototyping AI-powered workflows or applications
• Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility
• Understanding of prompt engineering and model limitations (hallucination, bias, cost tradeoffs)
• Excellent verbal and written communication skills
• Ability to influence stakeholders across Product, Marketing, Finance, and Leadership
• Master's degree (or foreign equivalent) in Data Science or Statistics

Additional Information

• Thriving Wellness Community: Medical, vision, dental plans, 401k with match, virtual health resources, fitness reimbursements
• Career Advancement Opportunities: Clear paths for progression and internal mobility
• Focused Learning and Development: Leadership training, webinars, eLearning
• Empowering Mentorship Program: Company-wide mentorship program
• Continuous Improvement Training: Employee training programs
• Giving Back: Wonderful Giving program, Wonderful Neighbor community service