Cart.com is an ecommerce software and services company on a mission to democratize ecommerce and give digital merchants the freedom to grow. We are integrating all the pieces of the ecommerce value chain brands need to thrive, creating a truly end-to-end Ecommerce-as-a-Service platform that helps third party brands move faster, grow more quickly, and deliver on their promises more completely.  

The Data Science team at Cart.com is a centralized team that reports directly to the CEO and is responsible for all things data, analytics, and ML/AI of Cart.com. The Data Science department consists of four separate departments. Our team consists of Cloud Architects, Data Engineers, Software Engineers, Data Scientists, Machine Learning Engineers, and Data Viz specialists.  

This role sits in the Data Science Solutions department while working cross-functionally with the Marketing as a Service team. Our Data Scientist will be providing service-based data science solutions to our brands and will be integral in turning service-based offerings into product-based solutions with our software & machine learning engineers by your side. 

Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from: (Propensity models, Customer Profiling & Segmentation, Recommendation engine, Clustering, MMM, Incrementally, MTA, A/B Testing and Design, ad hoc advanced analysis, etc.)

Cart's vision and mission are to disrupt longstanding players in the value chain of e-commerce by designing a distributed network of capabilities that are 10x cheaper, 10x more convenient, and 10x better. This Data Scientist is integral to this mission.

Responsibilities:

• Expert knowledge & presentation of advanced marketing analytics concepts & hands-on experience applying data science solutions to business problems
• Manage data science modeling life cycle, - design, develop, evaluate, deploy, serve, monitor, and maintain
• Ability to execute complex analytics projects where client objectives are ambiguous
• Discover business problems & areas of opportunities by proactively collaborating with business teams and translate business questions into quantitative analyses that generate revenue for Cart.com
• Develop data science products into the Cart.com platform, working with engineers & software developers to automate services into products including but not limited to: Marketing, Pricing and Merchandizing, Site Personalization, Logistics, and Supply Chain
• Push the boundaries of what is believed to be possible concerning personal growth and technology to ensure the success of our team and the customers of Cart.com 
 

Experience:

• 3-5+ years of experience as a Data Scientist in an eCommerce Environment with substantial exposure to working with advertising 
• Expert working knowledge of advanced data science tools & scripting skills in R or Python. (Clean document in-line code for replicability) with exposure to some flavor of a SQL database
• Experience creating useful predictive models: examples of using predictive analysis effectively to solve critical business problems
• Exposure and comfort working with core Machine Learning foundational algorithms - specifically including all unsupervised and supervised 

These aren’t just buried somewhere in an employee manual. We live and breathe them. They are on the walls and live in our hearts. They come up constantly in conversations and actions. They govern the decisions of the newest hire all the way up to our CEO:

 

We live for brands and are fanatical about their success.

We explore new ideas and discover creative solutions. We think openly about how to serve brands and solve problems.

 

No one expected this to be easy. We are resilient— we dig in and keep going.

Every person here has an obligation to question norms, voice concerns, and offer their perspective.

We work with integrity and respect, ask for help, and extend the same help to others.

 

Our people are our biggest strength. We have fun and make real connections with one another and with the brands we serve.

 

Cart.com is deeply committed to building a diverse and inclusive workplace. We’re proud to be an equal opportunity employer, seeking to identify and onboard people from all walks of life. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

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