The Wonderful Company
E-Commerce
DataScientist,Modeler
Neural analysis suggests this role is
optimal for mid candidates.
“Data Scientist, Modeler at The Wonderful Company. Skills: Forecasting, LTV modeling, AI, LLMs. Lead forecasting. Lead budgeting”
What You'll Achieve.
Unlock new efficiencies; Unlock new insights; Drive decisions
Industry & Context.
Advanced analytics; Statistical analysis; Model validation
What They're Looking For.
Must Have
5+ years Data Science, Experience presenting to executives, Forecasting and time series modeling, Customer Lifetime Value modeling, Python and SQL, Statistical analysis and experimentation, Build executive presentations, Communicate complex insights, Hands-on experience with LLMs, Hands-on experience with AI tools
Nice to Have
ECommerce or consumer business experience, BigQuery preferred, OpenAI experience, Claude experience, Gemini experience
What You'll Do.
Own forecasting models
Own revenue forecasting
Own order forecasting
Own conversion rate forecasting
Own marketing performance forecasting
Own demand planning forecasting
Partner with Finance on budgeting
Build scenario models
Improve forecast accuracy
Perform cohort analysis
Perform retention modeling
Perform customer segmentation
Identify AI/LLM use cases
Implement automated insights
Implement NL querying
Implement customer summarization
Implement customer segmentation
Build scalable AI solutions
Develop demand forecasting models
Develop seasonality models
Develop customer behavior models
Develop conversion driver models
Leverage BigQuery for analysis
Identify performance drivers
Validate A/B test significance
Validate A/B test methodology
Ensure test readout accuracy
Define experimentation guardrails
Define experimentation best practices
Translate analyses to insights
Develop executive presentations
Articulate model assumptions
Articulate model risks
Articulate model confidence
Influence decision-making
Work with Data Analytics Manager
Work with Data Engineering
Work with Product stakeholders
Work with Marketing stakeholders
Work with Finance stakeholders
Define scalable data models
Define scalable data structures
Build models using Python
Build models using SQL
Build models using BigQuery
Work with modern AI tooling
Establish AI pipelines
Establish LLM pipelines
Establish best practices for prompts
Establish best practices for validation
Establish best practices for governance
How You'll Work.
Team & Collaboration
Partner with Finance; Partner with Leadership; Partner with Marketing; Partner with Product; Cross-functional teams; Data Engineering team; DW team; Analytics teams
Communication Scope
Executive storytelling; Clear communication; Actionable insights; Compelling narratives; Data-driven storytelling
Full Job Description
Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We’ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we’ve become the world’s largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to 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 also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows. This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate 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, while not owning test execution. This position will be based at our Paragould, AR office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. *Local Candidates Only 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 c
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