Data Scientist, Marketing & eCommerce

About this role

Company 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 hands-on Data Scientist with proven experience building predictive Customer Lifetime Value (LTV) models and developing statistical and machine learning models to forecast eCommerce performance. The ideal candidate has experience working with customer transaction and behavioral data within an eCommerce, direct-to-consumer (DTC), subscription, or digital consumer business.

In this role, you will own the development, validation, and ongoing improvement of predictive LTV models while forecasting revenue, analyzing customer purchasing behavior, and identifying opportunities to improve customer acquisition, retention, and profitability. You will partner closely with Marketing, Finance, Product, and Data Engineering teams to support business decisions through advanced analytics.

This position also offers the opportunity to explore emerging AI and Large Language Model (LLM) technologies as we expand their use across analytics and business workflows.

This position will is eligible for remote work.

Job Description

Customer Lifetime Value (LTV) & Predictive Modeling

• Independently design, build, validate, and maintain predictive Customer Lifetime Value (LTV/CLV) models using customer transaction and behavioral data.
• Develop statistical and machine learning models to predict future customer value, purchasing frequency, repeat purchases, and retention.
• Apply predictive modeling techniques t...