Groupon is an experiences marketplace that brings people more ways to get the most out of their city or wherever they may be. By enabling real-time mobile commerce across local businesses, live events and travel destinations, Groupon helps people find and discover experiences––big and small, new and familiar––that make for a full, fun and rewarding life. Groupon helps local businesses grow and strengthen customer relationships––resulting in strong, vibrant communities. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success.

Groupon, Inc. is looking for a Data Scientist to join our team in Chicago, IL.

We're a "best of both worlds" kind of company. We're big enough to have resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. We're curious, fun, a little intense, and kind of obsessed with helping local businesses thrive. Does that sound like a compelling place to work?

How you'll spend your day:

• You will Design and build scalable computing systems for collecting, integrating, and processing large sets of structured and unstructured data from disparate sources and feed the results of the computations to other downstream systems within established service level agreement timeframes; 

• Work closely with peers from the product, engineering, and data science teams to form good hypotheses on how to improve the business; 

• Design, execute and measure experiments to test these hypotheses; 

• Productionalize solutions that show lift; 

• Analyze data in search of ideas that improve relevance for the user’s browsing experience; 

• Build data pipelines that feed into offline and online systems to support the browser experience; 

• Work with product and revenue management teams to identify questions and issues for data analysis and experimentation; 

• Use machine learning techniques to build models that can address areas such as user segmentation, chum, affinity, and conversion rates; 

• Support systems, algorithms, and automated processes for data processing at scale and in batch and streaming architectures on prem and in the cloud. 

• May telecommute up to 100% from any location in the U.S.

We’re excited about you if you have the following requirements: 

• Master’s degree in Business Intelligence and Data Analytics, Quantitative or related field  plus 2 years related experience

• Any level of experience with research, design, and build end-to-end machine learning solutions for various business problems using industry standard technologies

• Any level of experience with productionalizing and deploying scalable data science applications to cloud environments

• Any level of experience with automating and orchestrating workflows

• Any level of experience with analyzing complex data systems and translating business logic into code

• Any level of experience with creating data pipeline and manipulating and analyzing data with industry standard database management tools

• Any level of experience with providing operational support and maintenance for software as a service products

• Any level of experience with investigating and responding to technical problems and requests from customers and internal stakeholders

• Any level of experience with coordinating with product managers, software engineers, and customer-facing teams

#LI-DNI #LI-DNP

Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local ecommerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.

Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings, always check our official careers website at grouponcareers.com.