Sitting at the intersection of a three-way marketplace, Rewards Network is a ripe opportunity for a data enthusiast to tackle interesting and complex problems while delivering production-ready data science assets that integrate with our growing array of technologies and products. Data Scientists at Rewards Network operate at multiple levels, from delivering data assets that support tactical day-to-day operations, to strategic research helping shape top-level business decisions. The machine-learning models they design, integrate with our technologies to support member experience and client results. Data Scientists work closely with stakeholders across the company to understand our business needs and deliver immediate and long-term value. Success in this role requires a driven problem-solver that is prepared to design and develop innovative solutions.

Rewards Network supports restaurant businesses through marketing services that deliver high-value patrons. Core to our value proposition is the seamless, low-friction experience we provide our full-price diners. This experience rests on an infrastructure of accurate and efficient credit card purchase tracking. To help us grow and maintain this foundational technology, Rewards Network is seeking a Data Scientist with experience working with credit card transactional data. 

What you'll do with us:

• Drive actionable insights from data and present them to external and internal clients in a compelling manner
• Collaborate across departments to understand business objectives and identify novel data-opportunities
• Develop machine learning algorithms that support operations and production systems: E.g. Retention and Recovery automation, ISOMID inference, cross vendor identification of unique businesses, etc.
• Contribute to the development and maintenance of our data infrastructure to enhance the cleanliness and effectiveness of our data sources
• Collaborate in defining a clear and effective Data Model to support management of transactional channels
• Create well documented coding and analytics packets to ensure reusability as the team expands

Who you are:

• Experience working with credit card data from: payment processors, credit card networks (direct file feeds), and/or point-of-sales systems
• Programming skills in form of Python & SQL. Concise and organized programming skills will be highly valuable
• Familiarity with AWS (S3, Redshift, Sagemaker) will be valuable
• Experience with any BI visualization tool
• Comfortable working in a fast-paced environment
• Flexibility to tackle the changing problems at hand both big and small
• Strong written/verbal communication and presentation skills

We connect diners to fantastic restaurant experiences by offering unique card-linked offers thanks to our ability to leverage advanced technology and powerful data analytics, while simultaneously providing value to our strategic partners' overall loyalty programs.

We work alongside our restaurant partners every day, sharing in the ebbs and flows of their business while helping them achieve their dreams. We provide marketing and financing that work with their business and are truly pay-for-performance. We help them increase revenue, traffic, and customer engagement. Importantly, our services do not require the merchant to discount or give away their products.

Even more, we enhance our partners' loyalty programs by offering a turn-key, scalable dining rewards program that is right for their business model and leverages their unique brand to help increase the value proposition for their customers.

Finally, we connect our millions of members to our participating restaurants, allowing them to earn the rewards they desire when dining out.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.