At ShopRunner, our mission is to help retailers thrive by sparking and deepening connections between shoppers and the brands they love.
Our 4.4M members receive exclusive benefits such as free 2 day shipping, free returns, 2-click checkout and special promotions across our network of 140+ retailers. Our retailers enjoy the power of cross-retailer network effects in the form of new customers and increased purchase frequency. It’s a great outcome for everyone for all!
With people in offices in Chicago and Conshohocken, PA, we’re perpetrators of good vibes and great experiences for our customers, our merchants and each other.
ABOUT THE ROLE:
As a Data Scientist at ShopRunner, you will be digging into our relatively untouched store of cross-market e-commerce data in order to create predictive models that help push our business forward. Working with other teams throughout the business, our team will push the limits of what our data can do, driving us to find more effective ways to serve our merchants and the customers who use our platform. A collaborator through and through, you will work to help define a data pipeline for both batch and real-time models.
ABOUT WHAT YOU'LL DO:
- Develop models and uncover insights that help demonstrate the value that ShopRunner provides to merchants and inform how we structure deals.
- Analyze our massive store of data to better understand how our customers interact with ShopRunner and our merchant network and using that understanding to identify new segments that ShopRunner should focus on, to build recommendation systems, and to build predictive targeting models.
- Uncover opportunities for new products and services within our customer and merchant network, often developing POCs and prototypes.
- Work with the engineering team to develop new products, including assisting with data architecture and modelling, to ensure new products will scale with usage across our merchant network.
ABOUT WHAT WE'RE LOOKING FOR:
- 4+ years as a Data Scientist, working closely within a business to give actionable insights; or PhD-level candidates with the right research experience and expertise.
- Strong coding ability in Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, PySpark.
- Experience building a recommendation system and/or working with factorization machines is ideal
- Collaborative problem solver with previous experience building machine learning models from the ground up.
- Experienced communicator who can champion their insights and ideas until they become proven production systems that generate business value.
- Hands-on self starter who can move data projects forward by acquiring and converting data into useful formats when necessary.
We want you to bring your whole human self to work every single day. We accept you for who you are and consider everyone on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.