Data Scientist, Modeler

Teleflora, a leading flower delivery service and part of The Wonderful Company, is seeking a Data Scientist to drive forecasting, budgeting, and advanced analytics for our eCommerce business, while championing AI and large language models across analytics and business workflows.

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
• 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

• Demand forecasting and seasonality
• Customer behavior and conversion drivers
• Leverage GCP/Big Query for large‑scale data analysis
• Identify key drivers of performance across product, pricing, and customer behavior
• 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
• Collaborate 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 / Big Query (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 (Big Query 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

• Medical, vision, and dental coverage
• 24/7 online physician consultations, virtual mental health resources, and life coaching
• Employee community groups and cash rewards for healthy habits
• Fitness reimbursements and on‑demand fitness videos
• 401(k) with company match
• Professional growth through learning, mentorship, and internal mobility opportunities
• Work‑life flexibility with hybrid schedule in Oklahoma and support for remote work on Thursdays and Fridays

The Wonderful Company is an Equal Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.