Data Scientist

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 serve as a bridge between non-technical stakeholders and engineering, collaborating with product managers and architects to shape the product roadmap applying machine learning while prioritizing business requirements; 

• Analyze and visualize big data to propose and implement cutting-edge machine learning solutions to automate/expedite processes; 

• Stay current with industry trends and emerging technologies, sharing knowledge with the team; 

• Mentor, support and lead junior engineers on company strategy and projects, software engineering best practices, and career growth; 

• Troubleshoot and resolve time critical integration issues using technologies like message bus, RDBMS, Kubernetes and logging infrastructure to ensure high system availability and performance; 

• Utilize agile software development practices to write efficient and scalable Java code for third-party integration solutions. 

• 100% telecommuting allowed; can live anywhere in the U.S.   Co headquarters in Chicago, IL.

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

• Bachelor’s degree in Data Science or related field or foreign equivalent degree plus 2 years related experience.

• Any level of experience with analyzing research papers and big data using Spark dataframes, visualization tools, and domain knowledge to propose, design and implement new machine learning solutions to automate manual processes 

• Any level of experience with troubleshooting and resolving time critical production issues using tech stack – Kibana logs, metric monitoring, and SQL

• Any level of experience with selecting the right machine learning model based on the application, optimize and hypertune the model to ensure maximum accuracy and to maintain the quality of predictions

• Any level of experience with developing robust and scalable data pipelines by combining different data sources and using data wrangling, and feature engineering to generate training data for machine learning solutions

#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.