Data Scientist, Modeler

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 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 to acquisition, retention, and personalization strategies

AI / 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 relevance

Advanced 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 behavior

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

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 storytelling

Data 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 cases

Tooling & 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

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

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

Preferred:

Experience with GCP ecosystem

Exposure to MLOps or productionizing models

Experience in eCommerce or high-volume consumer environments

Pay Range: $130,000- $150,000. Final compensation will be dependent upon skills & experience.

Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: 24/7 online physician consultations

virtual mental health resources

life coaching

engaging employee community groups

cash rewards for healthy habits and fitness reimbursements

library of on-demand fitness videos

Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.

Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses.

Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward.

Continuous Improvement Training: Participate in training that empowers all employees to learn and implemen…