Technical Analyst - Data Science

| Chicago
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ABOUT US:

At ShopRunner, our mission is to help retailers thrive by sparking and deepening connections between shoppers and the brands they love.

Our millions of members receive exclusive benefits such as free 2-day shipping, free returns, 2-click checkout and special promotions across our network of 100+ retailers. Our retailers enjoy the power of cross-retailer network effects in the form of new customers and increased purchase frequency.

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:

Are you interested in the intersection of fashion and computer vision? If so, come join us at ShopRunner! We're seeking a technical analyst to help us turn roughly 50 million product images into compelling consumer features across our website, mobile app, and browser extension.

You’ll join a diverse data science team in Chicago. We love learning from each other and solving problems. In addition to your favorite data science work, you’ll get to interact with other departments at ShopRunner including, for example, participating in design ideation sessions and partnering with analysts.

ABOUT OUR TEAM:

We use our relatively untouched store of cross-market e-commerce data to create predictive models that help move our business forward. As a technical analyst, you'll work with other teams at ShopRunner to help us push the limits of what our data can do and drive us to find more effective ways to serve both our merchants and customers. Some of the projects we’re working on include:

  • Analyzing our massive store of data to better understand how our customers interact with ShopRunner and our merchant network. We’re using our findings to identify new segments for ShopRunner to focus on, to build recommendation systems, and to build predictive targeting models.
  • Developing computer vision algorithms on top of our collection of roughly 50 million product images
  • Uncovering opportunities for new products and services within our customer and merchant network, often developing POC’s and prototypes
  • Working with the engineering team to develop new products, assisting with data architecture and model deployment and ensuring our products will scale with usage across our merchant network

ABOUT WHAT YOU'LL DO:

  • Work with product managers across the organization and the Director of Data Science to prioritize our work across multiple initiatives, spanning both internal and external stakeholders
  • Produce written artifacts for the team, including project requirements and user stories, design documents, and meeting notes
  • Help the team keep a prioritized backlog of work
  • Help to run our scrum/agile process and meetings
  • Generally help keep us focused and operating as efficiently (and happily) as possible

ABOUT WHAT WE'RE LOOKING FOR

  • Experience as a project manager, project coordinator, product analyst, or business analyst
  • Experience creating business requirements, user stories and project plans
  • Experience working in an agile software development environment, preferably within the Atlassian suite or comparable project management tools
  • Demonstrated record as an experienced communicator who helps teams champion insights and ideas until they become proven production systems that generate business value
  • Interest in data preparation, statistical analysis, predictive modeling, and machine learning
  • Big plus if you have basic coding experience, ideally in Python or SQL
  • Bachelor’s degree in management information systems or related field, or equivalent work experience

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.

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The beauty of our office is you can get everything you need, without ever having to leave the building. Food, post office, gym.... take that, winter!

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