The Wonderful Company

E-Commerce

DataScientist,Modeler

$145–210k ~AI est. Paragould, Arkansas, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

E Commerce
Problems you'll solve

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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