Data Scientist, Modeler

Teleflora provides innovative marketing, education, and technology to ensure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. As part of The Wonderful Company family since 1979, we lead the industry with a nationwide network of over 10,000 florists who hand-arrange and hand-deliver every bouquet. We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business while driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.

About the role

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect is translating complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results without owning test execution. This position is based at our Paragould, AR office with a hybrid schedule: in-office Monday-Wednesday and remote Thursday-Friday. Local candidates only.

Responsibilities

• Forecasting & Budgeting (Core Ownership):
  • Own forecasting models for revenue, orders, conversion rates, and AOV
  • Model 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, 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, and 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, and 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

Requirements

• 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

Preferred Qualifications

• Experience with GCP ecosystem
• Exposure to MLOps or productionizing models
• Experience in eCommerce or high-volume consumer environments

Benefits

• Thriving Wellness Community:
  • Top-notch medical, vision, and dental coverage
  • 401k with company match
  • 24/7 online physician consultations and virtual mental health resources
  • Life coaching and employee community groups
  • Cash rewards for healthy habits and fitness reimbursements
  • Library of on-demand fitness videos
• Career Advancement Opportunities:
  • Clear paths for career progression and internal mobility across diverse brands and business units
• Focused Learning and Development:
  • Dedicated Learning and Organizational Development department
  • People Manager and leadership training, webinars, and eLearning courses
• Empowering Mentorship Program:
  • Company-wide mentorship program to share goals, overcome challenges, and drive career growth
• Continuous Improvement Training:
  • Training to empower employees to drive positive change in the workplace
• Giving Back to the Community:
  • Wonderful Giving: Allocate company-provided funds to up to three charities of your choice
  • Wonderful Neighbor: Participate in group service projects within local communities

Schedule

Hybrid schedule with in-office requirement Monday-Wednesday and remote work option Thursday-Friday.